Total 2,937 Education / Training job vacancies in Ipoh Garden South, Ipoh Perak

Requirements: 

• Candidates must have PhD / Master qualification in the respective subjects/disciplines
• Candidates should have at least 1 or more years of teaching experience in the relevant disciplines
• Candidates should have a record of exceptional teaching, scholarship and service, preferably with evidence of effective academic and administrative leadership
• A strong knowledge of the subject area combined with a broad subject background enabling contributions to teaching programmes
• Good interpersonal skills and demonstrated ability to work with students and staff from a diverse range of backgrounds
• Excellent command of spoken and written English
• Added advantage: strong written & spoken command in Mandarin. 

Job Descriptions: 

• To teach undergraduate and/or postgraduate courses delivered by the School and, as required, to teach on associated programmes offered by the University
• To supervise student projects and assist them in understanding assignment requirements
• Design and execute formative and summative assessment including marking that is aligned with student learning outcomes
• Provide feedback to students on their learning through student consultations
• Monitoring of students performance on the programme, and continuous improvement of programme
• Participate in the administration of the programmes of study and other activities in the School and Faculty of Social Sciences
• Conduct research in areas as per discussion with Dean/Head of Department
• Establish and maintain links and partnerships with academic, industry and professional communities
• Other duties within the Faculty and University as required

Perks & Benefits

• Medical insurance
• Annual leave
• Training & development opportunities

Job Requirements:

• Candidates must have PhD / Master qualification in the respective subjects/disciplines – Application and System Development, Computer Vision, Computer Graphics, Data Mining, Big Data, Ethical Hacking, Network Security, Machine Learning, Computer Networking, Cryptography, Data Security, etc.
• Preferred area of study: Data Analytics, Artificial Intelligence, Cybersecurity, Application and System Development
• Candidates should have at least 1 or more years of teaching experience in the relevant disciplines
• Candidates should have a record of exceptional teaching, scholarship, and service, preferably with evidence of effective academic and administrative leadership
• A strong knowledge of the subject area combined with a broad subject background enabling contributions to teaching programmes
• Good interpersonal skills and demonstrated ability to work with students and staff from a diverse range of backgrounds
• Excellent command of spoken and written English
• Added advantage: strong written & spoken command in Mandarin.

Job Descriptions:

• Prepare teaching and learning materials in accordance with the course content and additional materials necessary for delivery and discussion.
• Perform relevant administrative tasks as and when required.
• Prepare and grade assessments as stipulated in each offered course.
• To counsel students pertaining to their academic and career.
• Conduct public seminars on contemporary issues when necessary.
• Take part in major public exhibitions, open days, and roadshows when required.
• To be actively involved in research.
• To perform any other duties as assigned by the faculty and management from time to time. 

Perks & Benefits

• Medical insurance
• Annual leave
• Trainind & development opportunities

Step Teachers are looking for a Year 2 Class Teacher for a full time role starting as soon as possible and continuing until the end of the academic year. This Year 2 Class Teacher role is in an Infant School in Aylesbury. As a preferred supplier for Teach in Herts, Step Teachers have long standing relationships with schools and academies across the area.

This Infant School is committed to providing students with a strong and healthy start to their education. The school has been rated ‘Good’ by Ofsted, and has a 2 form-entry; they are advocates for education and the curriculum being pupil focused.

Role of Year 2 Class Teacher:

• Strong knowledge of the curriculum at Key Stage 1
• Upkeep a tidy, organised classroom with accessible resources where needed
• Work effectively with other members of staff, both within the classroom, and throughout the school
• Ability to monitor, assess and report on the progress of your students
• Able to plan and deliver engaging lesson that can be adapted to the needs of the class
• Willingness to comply with the schools’ policies and implement them effectively

Year 2 Class Teacher Requirements:

• Hold Qualified Teaching Status
• Recent mainstream school-based experience as a Primary School Teacher
• Have a good level of classroom and behaviour management
• Experience working with SEND is desirable

Why Step Teachers?
With a rich history spanning over two decades, our teacher recruitment agency proudly serves North London, East London, Hertfordshire, Norfolk, Suffolk, Cambridgeshire, Oxfordshire, Cornwall, and Devon. We foster exclusive relationships with schools and academies in these regions. Our dedicated team, stationed in branches across Barnet, Enfield, Havering, Norwich, Cambridge, Abingdon, and Plymouth, is committed to supporting and nurturing teachers. Explore rewarding opportunities with our trusted education recruitment services.

Step Teachers are an agency listed as an approved supplier on the Crown Commercial Service and are proud to be REC audited. This ensures we are carrying out comprehensive checks in line with the REC Code of Professional Practice and are fully committed to safeguarding and promoting the welfare of children and young people. Upon registration, candidates will be subject to a variety of checks including an enhanced DBS check, full references including your most recent employer and eligibility to work in the UK. 

Weekly pay is processed through PAYE. High street, travel, gym membership and many other exclusive discounts, along with physical and emotional wellbeing services as standard with our pay portal. 

Recommend a friend and both you and the person you recommend receive £100 each in Amazon vouchers and a chance to win a holiday worth up to £1000 – If you know anyone who is looking for temporary, permanent or supply work then get in touch with us today! 

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Qualifications

• At least a Master’s degree in German as a Foreign Language, Applied Linguistics or any related field
• At least two years of experience in teaching German, preferably in higher education
• Skills/knowledge/experience in online teaching as well as the application of IT to language teaching

Job Description

• Teach German as a foreign language
• Prepare and conduct lessons (in-person, or when necessary, online)
• Mark all coursework and assessments
• Perform other duties as assigned from time to time

More Information

Application Documents (in English)

• At least a Master’s degree in German as a Foreign Language, Applied Linguistics or any related field
• Cover letter
• CV
• Copies of educational certificates
• Two reference letters
• Student feedback from the last two years (if available)

Submission

Please submit the above-requested documents in a single PDF file in this portal. Shortlisted applicants will be invited to attend an interview and give a teaching demonstration. Only Singapore Citizens / Singapore Permanent Residents can apply. Shortlisted applicants will be invited to attend an interview and give a teaching demonstration.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

This project aims at addressing various challenges in Metaverse from network perspective to meet the diverse service requirements. It studies metaverse in the context of 5G network slicing and develop techniques based on AI/ML, optimization and game theory for the problems such as traffic categorization, demand prediction, resource allocation, anomaly detection, and task offloading.

The Research Fellow (RF) will be responsible to develop various techniques as stated above and carry out performance study. The work and findings will lead to top-tier journal and conference publications.

Qualifications

Requirements
• A PhD in Computer Engineering/Electrical Engineering/Computer Science and related disciplines, with knowledge and experience in one or more areas, 5G, Metaverse, edge computing, AI, machine learning, optimization and game theory.
• Strong research record with independent research and development capability.
• Open to Fixed Term Contract

The Education Consultant serve as the point of contact between Tree Art and prospective customers. The incumbent identifies and educate prospective customers on the Company’s course curriculum and supports customers by providing information and assistance with closing.

Main Duties:

• Actively seek, follow up and close on sales leads.
• Engage in effective sales pitch through familiarising with Tree Art curriculum and programme.
• Promote Tree Art courses, introduce and explain curriculum information to prospective customers.
• Identify and recommend on course curriculum that are tailored to customer’s needs and objectives.
• Liase closely with customers to address all course inquiries (ie; walk-in/online platforms) with closure.
• Coordinate with Centre Manager to ensure smooth process for customer registration and enrolment.
• Collect and review quality feedback from customers to improve sales.
• Responsible for administrative duties including maintaining database records and sales data analysis.
• Perform any other duties and responsibilities as assigned by the Centre Manager.

Job Specification:

• Possess at least diploma in any field.
• Fresh graduates who are pro-active and sales driven are welcome to apply.
• Prior experience working in sales is an added advantage

The successful candidate will lead development of AI-based methods for somatic mutation identification from Next-Generation Sequencing (NGS) data. The candidate will be responsible for model and software development, as well as documenting performance on benchmarks datasets.

Job requirements (eg qualification, skills):

1. PhD in Bioinformatics or Computer Science

2. Strong and documented programming skills and experience with UNIX and HPC environments

3. Strong and documented experience with AI/deep-learning approaches applied to NGS data

4. Excellent project management skills

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

This job focuses on researching the forefront topics of photogating effect and low-dimensional material photodetectors based on photogating effect, aiming to address the critical issues in realizing high-performance and multifunctional photodetection. The primary responsibilities include:

1. Design and simulation of photodetectors. Understand in depth the photogating effect, design the structure of low-dimensional material photodetectors, and utilize software to simulate the electrical and photoresponse characteristics of devices. Research directions include low-dimensional material heterojunction engineering, photodetector structure design, and multifunctional photodetection, etc.

2. Fabrication and measurement of photodetectors. Conduct experiments to fabricate low-dimensional material photodetectors and establish a measurement platform to evaluate the performance of the fabricated devices. The research results should meet the project objectives and potentially provide new insights for the development of high-performance and multifunctional photodetectors.

3. Demonstration of high-performance and multifunctional photodetection. Find practical detection scenarios, and construct signal read-out circuits to demonstrate the high-performance and multifunctional photodetection capabilities of the fabricated devices. At last, prototype system designs should be developed for several representative detection scenarios.

4. Teamwork, article publication, and academic exchange. Participate in team discussions and collaborations to jointly drive project progress. Responsible for writing scientific papers and patent applications. Additionally, participate in academic conferences to exchange research findings with peers and enhance the academic influence of the team and individuals.
Given the above research objectives and work content, candidates are required to possess in-depth physical insights and interdisciplinary knowledge of semiconductor device physics, photodetection technology, photogating effect, low-dimensional materials, etc. Familiarity with micro-nano processing techniques and photodetector testing methods is also essential. Moreover, excellent teamwork skills and innovative thinking are indispensable.

Qualifications

1. Education and Research Background: PhD degree in Physics, Optical Engineering, Electrical Engineering, or related fields with a background in photogating effect and low-dimensional material photodetectors.

2. Theoretical Knowledge: Deep knowledge of semiconductor physics, physical optics, semiconductor device physics, optics and optoelectronics, and photodetection technology.

3. Simulation Capabilities and Experimental Skills: 1) Proficient in using simulation software for theoretical modeling and numerical calculations of photodetectors. 2) Familiarity with micro-nano processing techniques for low-dimensional material photodetectors, as well as experience in operating relevant equipment. 3) The ability to establish a performance characterization platform for photodetectors. 4) Be skilled in at least one computer programming language for data processing and analysis. Programming experience in neural networks or machine learning is preferred.

4. Independent Research Ability: Outstanding experimental design and data analysis skills. The ability to independently conduct research projects and solve complex technical issues.

5. Teamwork and Communication Skills: Excellent teamwork spirit and communication abilities. Be able to actively collaborate with team members, jointly advance project progress, and ensure the achievement of research goals.

6. Project Experience and Academic Achievements: Candidates should have relevant project experience or have published articles in reputed International Journals in the field of photodetection. Special attention will be given to candidates with research experience related to the photogating effect, low-dimensional material photodetectors, as well as high-performance and multifunctional photodetection.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with A/P Wu Jie starting around June to Aug-2024 under a project on heterogeneous photocatalysis and automated synthesis.

The main responsibilities of the position include:

1) Perform high quality research under PI’s supervision.
2) Draft and publish high impact journals
3) Help PI to write research grant
4) Mentor junior research students

Qualifications

Postdoc fellow candidate must hold (or be close to obtaining) an internationally recognized Ph.D. degree in organic chemistry or strongly related fields, and should have proven track record of excellence in experimental research. Candidate with experience and knowledge in total synthesis is preferred.

Skills

Organic synthesis; analytic instrument.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

(JR:18151)
The position of Postdoctoral Fellow - with an emphasis on computational cancer genomics - is immediately available at the Cancer Science Institute of Singapore (a part of National University of Singapore). The Postdoctoral Fellow will work with the laboratories of Professor Ashok Venkitaraman, on a project studying the evolution of cancer genomes during early steps in carcinogenesis, with the long-term aim to develop better methods for early intervention.

This is an exciting opportunity to deploy expertise in computational biology in an active multidisciplinary environment, working closely with experimental cancer biologists to address major scientific problems.

The Postdoctoral Fellow will apply existing analytic pipelines and devise new algorithms to explore data derived from multiple DNA sequencing technologies (e.g., Illumina & Nanopore) to resolve cancer genome evolution at the clonal level. S/he will also analyse complementary data from other technologies, ranging from single-cell RNAseq to chromatin immunoprecipitation to chromatin accessibility (ATAC-seq), using a variety of novel cellular models established in Professor Venkitaraman’s laboratory. Experimental findings will be explored and validated using clinical genomic datasets.

Please refer to https://www.csi.nus.edu.sg/web/ashok-venkitaraman/ for more information on Professor Ashok Venkitaraman’s research

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. Summary of past research experience
3. Description of long-term plans
4. At least 3 referees including their name, contact information (email) and relationship to applicant

Qualifications

The applicant for this position should possess a PhD in Human genetics, Genomics, Bioinformatics, Computer science, or related fields, with a strong track record of achievement exemplified by publications, is important, as is the required expertise in computational biology listed below. Experience in the methods to be used in the project is desirable.

• Firm understanding of the principles of clonal evolution
• Experience analyzing DNA sequencing data
• Strong Python and/or R programming skills
• Proficient with standard statistical analyses
• Strong publication record
• Excellent written and spoken English

PREFERENCES

• Experience using Amazon Web Services
• Proficiency with Unix-based systems
• Experience with collaborative software development via github/gitlab

The Genome Institute of Singapore (GIS) is Singapore's flagship institute for the genomic sciences. The Agency for Science, Technology and Research (A*STAR) is the parent funding body for the GIS and has a long-term commitment to advance science and develop innovative technology to further economic growth and improve lives. As one of the world's premier genomic centres, the GIS integrates genetics, genomics, high-throughput biology, and data science to gain fundamental, translational and clinical insights into human disease and health (https://www.a-star.edu.sg/gis/).

The GIS invites applications for outstanding Principal Investigators to develop their independent research programmes in the following domains:

• Build technologies to engineer DNA or RNA (including molecular biology, viral/non-viral delivery, modified DNA/RNA, machine learning, CRISPR-Cas, DNAzymes/ribozymes, and other editing systems). Candidates with established track record in molecular engineering, nucleic acid therapeutics, translation into clinical trials, and/or biotech companies are highly desirable.
• Build technologies in RNA therapeutics (including either using RNA as medicine or targeting RNA in diseases). Candidates with an established track record in targeting RNA or engineering RNA for protein production, decay, localization in health and disease systems are highly desirable.

Qualified candidates should have an MD, PhD or equivalent degree in the biological, genomic or computational sciences, and a demonstrated ability to conduct cutting-edge team-based research with a strong record of peer-reviewed publications, intellectual property creation, and external funding. You must be comfortable working in a dynamic research organisation and be able to balance multiple responsibilities. Strong communication skills and a willingness to work collaboratively in a multidisciplinary environment are critical for success. The successful candidate will drive an expansion into the indicated research areas and complement and synergise with ongoing research programmes at the GIS.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

The Genome Institute of Singapore (GIS) is Singapore's flagship institute for the genomic sciences. The Agency for Science, Technology and Research (A*STAR) is the parent funding body for the GIS and has a long-term commitment to advance science and develop innovative technology to further economic growth and improve lives. As one of the world's premier genomic centres, the GIS integrates genetics, genomics, high-throughput biology, and data science to gain fundamental, translational and clinical insights into human disease and health (https://www.a-star.edu.sg/gis/).

The GIS invites applications for outstanding Principal Investigators to develop their independent research programmes in the following domains:

• Build technologies to engineer DNA or RNA (including molecular biology, viral/non-viral delivery, modified DNA/RNA, machine learning, CRISPR-Cas, DNAzymes/ribozymes, and other editing systems). Candidates with established track record in molecular engineering, nucleic acid therapeutics, translation into clinical trials, and/or biotech companies are highly desirable.
• Build technologies in RNA therapeutics (including either using RNA as medicine or targeting RNA in diseases). Candidates with an established track record in targeting RNA or engineering RNA for protein production, decay, localization in health and disease systems are highly desirable.

Qualified candidates should have an MD, PhD or equivalent degree in the biological, genomic or computational sciences, and a demonstrated ability to conduct cutting-edge team-based research with a strong record of peer-reviewed publications, intellectual property creation, and external funding. You must be comfortable working in a dynamic research organisation and be able to balance multiple responsibilities. Strong communication skills and a willingness to work collaboratively in a multidisciplinary environment are critical for success. The successful candidate will drive an expansion into the indicated research areas and complement and synergise with ongoing research programmes at the GIS.

Exciting opportunity to play a pivotal role in establishing our cutting-edge lab in Singapore! Use your scientific expertise to select top-notch analytical equipment, develop innovative capabilities, and draft meticulous testing protocols. Manage lab inventory to ensure a seamless supply chain, and collaborate with our dynamic teams to refine products and tackle challenges head-on. Your contributions will shape the future of our research, driving impactful results and fostering a culture of innovation and excellence.

• Contribute to the establishment of the lab in Singapore by providing scientific insights, assisting in the selection of analytical equipment, developing capabilities, drafting testing protocols, and managing lab inventory to ensure a continuous supply of consumables and reagents.

• Apply technical expertise to innovate and refine products, addressing both intricate and straightforward challenges. Conduct laboratory experiments, collaborate with technical and commercial teams, scrutinize results, and propose the next steps for experiments or project stages.
• Communicate findings verbally within the research group and through emails and technical reports to the broader business, presenting complex scientific information in an accessible format. While the role does not involve line management, occasional supervision or demonstration to students and less experienced staff may be required.
• Offer recommendations for optimal development routes in projects, ranging from straightforward to complex. Manage and execute multiple projects, ensuring timely results from experiments of varying complexity.
• Generate creative solutions within a designated area, constrained by core science principles. Encourage and propose innovative ideas for new or ongoing projects.
• Continuously enhance knowledge of the technology area and relevant scientific techniques, striving to improve research capabilities.

• Holds a Master's degree with over three years of pertinent experience or Ph.D with 1 year of postdoc experience
• Familiar with the design and evaluation of different vectors (e.g., lipids, polymers, peptides, etc) for NAD. This includes, but is not limited to, the operation of a microfluidics system to formluate LNP; physical-chemical characterisation (e.g., API encapsulation, quantification of loading efficiency, particle size and surface charge); evaluation of in vitro transfection effiency and toxicity; in vivo biodistrubution and toxicity

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV or email to huixuan@triton-ai.com

CEI Registration Number: R1985071

EA License Number: 21C0661

Company Registration Number: 201127615

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The hire will focus on metal 3D Printing of Lightweight & Structural EM Materials, specifically on merging of metamaterials and natural materials for symphony effect of materials and structures for broadband microwave absorption. The initial contract may be ~ 1.5 years, and can be renewed later.

Qualifications

The candidate is required to have expertise in electromagnetic simulation with CST microwave Studio, composite material fabrication, microstructural characterization, and microwave measurements. The candidate should have a PhD degree on relevant areas, e.g., mechanical engineering, materials science. The candidate is expected to complete high-quality systematic research works.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The hire will focus on metal 3D Printing of Lightweight & Structural EM Materials, specifically on merging of metamaterials and natural materials for symphony effect of materials and structures for broadband microwave absorption. The initial contract may be ~ 1.5 years, and can be renewed later.

Qualifications

The candidate is required to have expertise in electromagnetic simulation with CST microwave Studio, composite material fabrication, microstructural characterization, and microwave measurements. The candidate should have a PhD degree on relevant areas, e.g., mechanical engineering, materials science. The candidate is expected to complete high-quality systematic research works.