Responsibilities

· Utilizes independent judgment in performing both routine and complex laboratory tests using a variety of techniques, instrumentation, and equipment in order to assist the physician in the diagnosis and treatment of disease.

· Performs complex chemical, biological, hematological, immunologic, microscopic, and bacteriological tests.

· Examines and analyzes body fluids and cells and matches blood for transfusions.

· Analyzes chemical content of fluids and tests for drug levels in the blood

· Prepares specimens, counts cells, and looks for abnormal cells in blood and body fluids.

· Analyzes test results and relays them to physicians.

· Exercises professional judgment in order to prioritize and evaluate varying test requests efficiently.

· Follow procedures for collecting and processing Biological specimens.

· Performs analytical testing procedures with accuracy and precision.

· Demonstrates scientific knowledge of testing principles, analytic procedures, and their results allowing for appropriate interpretation in conjunction with disease and physiology. Integrates multiple data to resolve problems.

· Implements and monitors quality control, new equipment, and/or methods.

· Performs tasks efficiently and maintains work area.

Requirements

· Min Diploma in Biomedical Sciences/Other relevant fields

· No experience required as training will be provided

Interested candidate, kindly send a copy of your resume to [email protected]



Adeline Lim Xin Ying [R23112000]

Email Address: [email protected]

Recruit Express Pte Ltd

EA Licence No: 99C4599

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

We seek to appoint a postdoctoral Research Fellow (fixed term, 30 months) to work on uncertainty quantification in LLMs.

Key Responsibilities:

• Manage own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of the work to meet deadlines.
• Develop independent research questions, propose new methodologies to improve on existing methods and contribute ideas for collaborative research projects.
• Assist the PI in mentoring, supervising and coordinating the activities of junior researchers and students of the research project.
• Lead small teams of students, software engineers, research assistants and other junior researchers to formulate and address research questions within the purview of the project; and assist the PI in mentoring and supervising them.
• Act as a source of information and advice to other members of the research team.
• Publish and present papers at conferences or public meetings.
• Work with industry and government partners to understand their research needs and formulate solutions.
• Contribute to outreach, communications and reporting as required to funders and stakeholders. Represent the research group at external meetings/seminars, either with other members of the group or alone.
• Help organise and actively participate in regular meetings and seminars within the group.
• Assist in raising research funds through grant applications.
• Carry out some related teaching and other works for the College that takes into account their career aspirations and development goals.

Job Requirements:

Essential Criteria

• Close to completion or hold a relevant Ph.D. with post-qualification research experience in statistical machine learning, and deep learning or large language models.
• Strong publication record and familiarity with the existing literature and research in the field of statistical machine learning, and deep learning or large language models.
• Possess sufficient specialist knowledge, research skills and interests in statistical machine learning, and deep learning or large language models to work within established research programmes and contribute ideas and solutions.
• Ability to independently plan and manage a research project, including a research budget.
• Possess strong collaboration abilities in person, on paper and over electronic channels.
• Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings.

Desirable Criteria

• Possess strong technical knowledge and abilities of deep learning and large language modelling frameworks (pytorch, jax, huggingface) as well as popular open-source codebases and LLM APIs.
• Experience of supervising staff.
• Experience of managing a research budget.
• Ability to raise research funds through making grant applications.

We regret that only shortlisted candidates will be notified.

Salary: Up to $4500

Benefits: 21 days AL, Completion Bonus

Working days: Mon - Fri, 8.30am - 5.45pm

Location: NTU (Pioneer)

Responsibilities:

• Conducting literature reviews, developing/assisting in the development of data collection instruments (surveys, protocols).
• Tracking progress, managing email, preparing reports (progress, results, articles, presentations), monitoring budget.
• Recruiting subjects, liaising with relevant departments, field data collection, data cleaning, verification, coding, database entry, maintaining data records.
• Attending project meetings, representing the project team, providing data access to researchers, potentially leading/guiding part-time employees.
• Assisting in preparing findings and contributing to publications.
• Requesting/acquiring necessary equipment and supplies, maintaining a shared research drive.

Requirements:

• Min. Degree in any field.
• Experienced with SPSS.

Applicants who possess relevant experience for the above responsibilities are most welcome to apply. If you do not possess the above experience, your application will still be considered on individual merits and you may be contacted for other opportunities.

Please submit your updated resume in MS Words format by using the APPLY NOW BUTTON.

By submitting your personal data and/or resume, you give consent to collection, use and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by the company relating to this job application.

Hui Yew Cheong

Registration Number: R24124511

EA License No: 06C2859 (MCI Career Services Pte Ltd)

The Research Assistant will be responsible to, and work closely with, the Principal Investigator, study team members and Family Medicine Development team to ensure the successful timely completion of the research on time. The RA’s principal role will be to work in general practices such as project management, recruitment, data collection, data entry and analysis. The RA may be required to liaise with personnel from partnering institutions in the course of his/her work.

You will be responsible for the followings:

• Assist PI with ethics application and amendments,
• Patient recruitment, informed consent taking and data collection
• Conduct focus group interviews, where required
• Manage research data, data entry, data cleaning and ethics/legal compliance
• Process patient reimbursement, where necessary
• Assist PI in preparation of study related presentations/materials
• Provide administrative and secretarial support to the project, such as organising regular meetings for the research team and collaborators from study sites
• Assist with any other duties of a similar nature that are delegated by the PI
• Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures

Requirements

• Bachelor’s degree in health sciences or nursing, preferably with some experience in healthcare setting
• Possess strong interpersonal skills
• Able to converse in English, Mandarin, Malay or major local dialects
• Proficient in MS Office applications (Word, Excel & Powerpoint)
• A team player with excellent interpersonal and communication skills, with the ability to work compassionately with geriatric participants
• Prior experience working in a research setting or with elderly will be advantageous
• Strong administrative and project management skills
• Willing to travel between study sites

Do you have the expertise to ignite curiosity in young minds?

Step into a dynamic teaching role where your Science knowledge becomes a gateway to discovery!

First Konnection – The Authorized Education Recruitment Specialist for this Role

• Streamlined Process: Focus on showcasing your talents while we handle the rest.
• Direct Communication: Stay informed and guided at every stage.
• Personalized Advice: Position your strengths effectively with our expertise.

Job Description & Responsibilities:

• Conduct engaging Science lessons (Physics and Chemistry) tailored to Secondary-level students.
• Prepare lesson materials, worksheets, and experiments to deepen understanding.
• Evaluate student progress through assessments and provide constructive feedback.
• Contribute to the continuous improvement of the Science curriculum.
• Foster a stimulating and inclusive learning environment.

Job Requirements:

• Degree in Science or a related field, specializing in Physics and/or Chemistry.
• At least 1-2 years of teaching experience in Singapore’s Secondary Science curriculum.
• Ability to communicate complex concepts effectively and engagingly.
• Strong classroom management skills and a student-centered approach.
• Energetic, adaptable, and dedicated to inspiring a love for Science.
• Availability for weekends and the following teaching schedule:
• Wed-Thu: 3:30 PM – 10:00 PM
  Fri: 2:00 PM – 10:00 PM
  Sat: 9:00 AM – 8:30 PM
  Sun: 9:00 AM – 6:30 PM

Bring Science to life and inspire young learners to explore the wonders of the universe.

Apply today to make an impact that lasts a lifetime!

EA Registration No.: R23111820 (Ben Chang)
EA Licence No.: 22C1307 (First Konnection Pte. Ltd.)

Key Responsibilities:

• Work with the team to build pipelines on Platform on data can be processed effectively

• Organize the database such that all clinical data are linked and easily retrieved - Build the pipelines for federated data sharing

• Data Analysis: Perform data analysis and visualization work to support research projects, grant applications, and publications

• Database Management - Manage the database used to host our clinical data to ensure that it is maintained operationally in a cost-effective manner

• Perform data cleaning, data standardization, and data structuring for data in the database

• Coding work required

Requirements:

• At least BSc in a relevant field (biology or bioinformatics or computational science)

• Possess an understanding of medical and clinical research terminology

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

Xaltius is a technology and data-driven company with the expertise to provide innovative software solutions and training to customers around the globe. We work to revamp and refine business potential, driving business excellence. As a maturing, tech-based company at heart, we are driven by the ever-changing dynamics of digitalization to provide personalized software solutions elevating business capabilities. Alongside our counterparts, we offer retail and corporate training in the fields of data analytics, data science, big data, and cloud technologies and have been actively doing that in Singapore since inception.

We are a diverse and value-driven team of knowledgeable and talented individuals, focusing entirely on achieving outstanding customer satisfaction. Being a young and fast-moving team, open-mindedness and flexibility define us. We strongly believe in educating and inspiring interested adult learners through our training sessions and are looking for enthusiastic and futuristic clients to collaborate with on IT projects.

This is a one year contract role with the need for the following:

Skills Requirement :

Areas of expertise are as follow (one or more):

• Advanced Python
• Data Analytics & Machine Learning with Python
• Microsoft PowerBI
• Statistics for Data Science
• Microsoft Excel (Data Cleaning, Functions, PivotTables, Pivotcharts)
• SQL and Database Design
• Tableau
• Deep Learning
• Big Data
• Data Bricks

Job Requirements:

• Preferably 2 years relevant working/ teaching experience in data analytics and in training professionals
• Masters specializing in Data Science is a plus
• ACLP/ACTA certified is a plus
• Excellent interpersonal and written communication skills
• Willingness and proactive to assist in troubleshooting and solving issues
• Passion towards learning new skills and knowledge, and imparting knowledge to others.

Job Description

• Industry/ Organization Type: Chemical Manufacturing
• Position Title: Research Officer (R&D)
• Working Location: Central
• Working Hours: Monday to Friday (8.45 AM – 5.30 PM)
• Salary Package: Basic Salary up to $3,800 + AWS + Bonus + Transport Allowance + Flexible Benefits
• Duration: Contract (3 years – Renewable)

Key Responsibilities

• Develop new technologies for molecular and immunological assays.
• Integrate assays into prototype medical devices.
• Handle ordering and payment using the SAP system.
• Ensure that all assays and processes meet stringent quality standards and regulatory requirements.
• Analyze experimental data to draw meaningful conclusions and make recommendations for further research.
• Work closely with cross-functional teams, including R&D, production, and quality assurance, to ensure seamless integration of new technologies.
• Adhere to all safety protocols and guidelines to maintain a safe and compliant work environment.
• Identify areas for process improvement and implement changes to enhance efficiency and effectiveness.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Bachelor’s Degree in Life Sciences, Microbiology, Molecular Biology or relevant discipline
• At least 1 year of relevant research or laboratory R&D experience
• Experience in assay development is an added advantage

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #68611 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it’s likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Our client is a Singapore based Scientific and Medical devices provider with presence in Southeast Asia region. Due to their current expansion plan, they are looking for a Technical Service Engineer to join their Engineering Team, in hopes of developing the current high performing team. They are located in the South area – easily accessible.

Duties of Technical Service Engineer:

• Provide after-sales technical support for equipment installation and maintenance.
• Offer technical guidance and consultation to customers.
• Address and troubleshoot customer issues, ensuring timely solutions.
• Document service activities and prepare detailed reports.

Requirements:

• Minimum NiTEC in ELectrical or Mechanical Engineering
• 2 - 3 years experience in servicing Life Science Medical Devices
• Possess own transport

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified

• Email Address: [email protected]
• EA License No: 19C9682
• EA Personnel No: R2199158
• EA Personnel Name: Soo Wei De

Main Responsibilities

• Prepare and deliver engaging lessons in accordance with the enrichment centre’s curriculum.
• Create a positive and supportive learning environment that encourages student participation and promotes creativity.
• Establish and maintain good relationships with students and parents; provide regular updates to parents on students’ performance and progress
• Collaborate with colleagues & assistant to enhance curriculum development and teaching methods.
• Maintain accurate records of students’ attendance, performance, and achievements.
• Attend staff meetings, training sessions, and other professional development activities provide & collaborate with Japan HQ as required.
• Ensure centre management and the safety and well-being of all students.
• Perform all administrative and other duties as assigned.

Requirements

• Bachelor’s degree in Education/ Teacher Certificate, Diploma or other Teacher Accreditation courses and certification, or relevant field.
• Prior experience teaching in an enrichment centre or similar educational setting.
• 1-2 year of proven experience in teaching mathematics/ science at the primary or early secondary school level.
• Strong classroom management skills and ability to engage young learners effectively.
• Passion for education and commitment to the academic and personal development of students.
• Excellent communication and interpersonal skills.
• Familiar with Singapore’s education system and curriculum frameworks (PSLE & early Secondary).

HOW TO APPLY:

Interested applicants, please click on “Apply Now” or email [email protected]

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Sim Jia Hui

EA Personnel Reg No: R22106242

Job Responsibilities:

• Implementing the program for the class in accordance with the policies, guidelines, framework and philosophy of the centre.
• Guiding primary school children (primary 1 to 6) to ensure completion of daily homework
• Keeping accurate records of children’s progress and address each child’s educational and developmental needs on an individual basis to the best of your ability.
• Prepare and upkeep of teaching resources, arrangement, appearance and learning environment of the classroom.
• Maintain and build relationships with children and parents.
• Conducting MindChamps unique enrichment programmes.
• Being an inspiring role model with a creative spirit and a champion (positive) mindset.
• Use positive discipline techniques at all times.
• Ensure safety and timely transfer of students from school to student centre
• Ensure safety of children within the premises
• Any other ad-hoc duties as delegated by Centre Director/ Manager

Job Requirements:

• Diploma in any discipline
• Experience in teaching primary school students will be an advantage
• Able to guide in doing primary school subjects
• Possess good communication and classroom management skills.
• Enthusiastic & energetic and has a positive mindset to learn and grow together with the company.
• Creative and loving energy with a positive disposition
• Excellent communication and classroom management skills
• Undergraduates are welcome

The Centre for Population Health Research and Implementation (CPHRI) is a centralised platform for population health research, innovation, implementation and evaluation activities in SingHealth. CPHRI aims to seamlessly leverage data and technology to guide and support population health initiatives and accelerate the implementation of research findings in care delivery and improvement.

You will support the work of the Population-based, Unified, Learning System for Enhanced and Sustainable Health (PULSES) Centre Grant as well as other signature research programmes in the centre. You will assist the Principal Investigators on developing grant proposals and study plans. You will engage internal and external collaborators. You will supervise the junior research staff to perform data collection, analysis and interpretation. You will assist with preparation of abstracts/posters/manuscripts/reports. You will oversee the process and quality of the study execution and keep track of timelines and budget. You will lead a team of junior research staff and provide technical supervision.

Requirements

• PhD in Social Science, Biostatistics, Public Health, Epidemiology, Health Economics or related academic area
• At least 5 years’ experience in population health research
• Candidates with expertise in implementation science will be preferred
• Strong quantitative or qualitative research skills and proficient with advanced data analytics software (e.g. SPSS, STATA, SAS) or qualitative analysis software (e.g. Nvivo)
• Excellent written and verbal communication skills
• Excellent interpersonal and leadership skills
• Highly motivated, independent and able to work in a dynamic environment

Work arrangements

• This role offers hybrid work arrangements, providing the flexibility of working remotely and in the office

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

We are looking for highly talented and motivated candidates to work on developing new functional materials. Candidate must be able to work in a fast-paced and dynamic environment with researchers across different disciplines. Candidate should have experience in sensing materials or self-healing materials.

Qualifications

PhD degree in Material Sciences, Electrical/Electronics, Applied sciences, basic sciences, technology, mechanical engineering or other relevant fields. Experience with data analytics/AI models a plus.

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 ADJ Laboratory at Cancer Science Institute, focuses on understanding the immune system's recognition of cancer cells after DNA-damaging chemotherapy. The lab’s goal is to guide the rational design of immunotherapy-chemotherapy combinations for cancer treatment, with a particular emphasis on lymphomas and collaborations with the NUH Lymphoma team. The Research Fellow will play a pivotal role in advancing these efforts by conducting cutting-edge research at the intersection of molecular and cellular biology, immunology, and translational cancer therapy.

1. Conduct Research:Investigate intracellular mechanisms in cancer cells influencing immune activation after DNA damage.
   Develop and evaluate combination strategies to enhance the efficacy of genotoxic chemotherapy using cell-intrinsic and cell-extrinsic approaches.
   
2. Experimental Design and Execution:Utilize cell line models for epithelial and lymphoid cancers to study DNA repair and immune activation mechanisms.
   Design and perform in-vitro assays and systems to analyze immunogenic responses to chemotherapy.
   Perform quantitative microscopy on histological material to explore immune modulation pathways.
   
3. Data Analysis and Dissemination:Analyze experimental results, interpret findings, and prepare research publications in high-impact journals.
   Present research outcomes at local and international conferences.
   
4. Collaborations:Work closely with local and international collaborators for clinical sample acquisition and analysis.
   Partner with pharmaceutical and medical technology companies to facilitate clinical translation and biomarker development.
   
5. Mentorship and Supervision:Provide guidance and mentorship to graduate students, post-doctoral researchers, elective students, and medical trainees involved in the lab’s projects.
   
6. Research Development:Contribute to securing research funding through grant proposals and fostering academic-industry collaborations.
   

Qualifications

• Education and Experience:Ph.D. in Molecular Biology, Immunology, Cancer Biology, or a related field.
  Experience in translational cancer research and familiarity with immune-oncology.
  
• Technical Skills:Proficiency in cell culture, molecular biology, and immunological assays.
  Experience with DNA repair assays, flow cytometry, and quantitative microscopy.
  Competence in bioinformatics and data analysis tools will be advantageous.
  
• Soft Skills:Strong analytical and problem-solving abilities.
  Excellent communication skills and the ability to work collaboratively in a diverse team.
  Commitment to promoting diversity and mutual respect in science.
  
• Additional Attributes:Proven track record of scientific publications and presentations.
  Ability to manage multiple projects and meet deadlines.
  Familiarity with clinical sample handling and translational research methodologies.

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 ADJ Laboratory at Cancer Science Institute, focuses on understanding the immune system's recognition of cancer cells after DNA-damaging chemotherapy. The lab’s goal is to guide the rational design of immunotherapy-chemotherapy combinations for cancer treatment, with a particular emphasis on lymphomas and collaborations with the NUH Lymphoma team. The Research Fellow will play a pivotal role in advancing these efforts by conducting cutting-edge research at the intersection of molecular and cellular biology, immunology, and translational cancer therapy.

1. Conduct Research:Investigate intracellular mechanisms in cancer cells influencing immune activation after DNA damage.
   Develop and evaluate combination strategies to enhance the efficacy of genotoxic chemotherapy using cell-intrinsic and cell-extrinsic approaches.
   
2. Experimental Design and Execution:Utilize cell line models for epithelial and lymphoid cancers to study DNA repair and immune activation mechanisms.
   Design and perform in-vitro assays and systems to analyze immunogenic responses to chemotherapy.
   Perform quantitative microscopy on histological material to explore immune modulation pathways.
   
3. Data Analysis and Dissemination:Analyze experimental results, interpret findings, and prepare research publications in high-impact journals.
   Present research outcomes at local and international conferences.
   
4. Collaborations:Work closely with local and international collaborators for clinical sample acquisition and analysis.
   Partner with pharmaceutical and medical technology companies to facilitate clinical translation and biomarker development.
   
5. Mentorship and Supervision:Provide guidance and mentorship to graduate students, post-doctoral researchers, elective students, and medical trainees involved in the lab’s projects.
   
6. Research Development:Contribute to securing research funding through grant proposals and fostering academic-industry collaborations.
   

Qualifications

• Education and Experience:Ph.D. in Molecular Biology, Immunology, Cancer Biology, or a related field.
  Experience in translational cancer research and familiarity with immune-oncology.
  
• Technical Skills:Proficiency in cell culture, molecular biology, and immunological assays.
  Experience with DNA repair assays, flow cytometry, and quantitative microscopy.
  Competence in bioinformatics and data analysis tools will be advantageous.
  
• Soft Skills:Strong analytical and problem-solving abilities.
  Excellent communication skills and the ability to work collaboratively in a diverse team.
  Commitment to promoting diversity and mutual respect in science.
  
• Additional Attributes:Proven track record of scientific publications and presentations.
  Ability to manage multiple projects and meet deadlines.
  Familiarity with clinical sample handling and translational research methodologies.
  

Responsibilities:

• Support the head of research in formulating real estate strategy for the REIT’s balance sheet assets and fund vehicles
• Collect and prepare macroeconomic and real estate research materials as necessary
• Conduct research and analysis on Asian real estate markets, prepare presentations
• Provide analysis for pitchbooks, and support related capital raising for real estate funds
• Produce written papers on topical real estate related issues

Requirements:

• Bachelor degree with major in either economics, finance, statistics, mathematics, real estate, or business
• A keen interest in real estate markets is an advantage but not essential
• Strong analytical and numerical skills
• Excellent excel spreadsheet and PowerPoint skills
• Strong communication and writing skills in English
• Good presentation and interpersonal skills
• Able to multi-task, a fast learner with a positive attitude
• Dynamic, flexible and teamwork player

Responsibilities:

• Support the head of research in formulating real estate strategy for the REIT’s balance sheet assets and fund vehicles
• Collect and prepare macroeconomic and real estate research materials as necessary
• Conduct research and analysis on Asian real estate markets, prepare presentations
• Provide analysis for pitchbooks, and support related capital raising for real estate funds
• Produce written papers on topical real estate related issues

Requirements:

• Bachelor degree with major in either economics, finance, statistics, mathematics, real estate, or business
• A keen interest in real estate markets is an advantage but not essential
• Strong analytical and numerical skills
• Excellent excel spreadsheet and PowerPoint skills
• Strong communication and writing skills in English
• Good presentation and interpersonal skills
• Able to multi-task, a fast learner with a positive attitude
• Dynamic, flexible and teamwork player

【About The Company】

Global Angle Pte. Ltd. is a rapidly growing market research start-up company that offers companies world-wide connection to build new knowledge and make informed decisions through a team of expertise. We are presently sourcing for a Japanese Speaking Junior Market Research professional to join us.

【Job Description】

• Conduct B to B marketing research/consulting
• Plan research strategies to fulfill the needs of the client's research projects.
• Find and collect data by studying reports, using online sources, taking surveys, and using a variety of other data-collection methods.
• Interpret and analyze research data, mining it for relevant information.
• Write research reports highlighting and summarizing essential information found through their data analysis.
• Present the findings verbally to summarize essential information learned through data collection and analysis.
• Manage the project team including our local researchers.
• Any other ad hoc duties assigned.

【Requirements】

• Bachelor Degree of (any major) or above.
• Proficiency in Japanese language is preferred(N2 and above) is necessary to manage stakeholders.
• Having qualitative marketing research skills (especially analyzing and planning skills) that is necessary for projects.
• 1-2 years of working experience in the market/industry research position is preferred(not a must).

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

To conduct research in area of functional polymers and hydrogels

Qualifications

1. A Ph.D. degree in areas of chemistry, Polymer Science, or Physical Chemistry of materials.
2. Equipped with skills in polymer design and synthesis
3. Good at materials characterization using TEM, SEM, SAXS/WAXS.
4. Self-motivated and demonstrated a good track record in quality publication.
5. 1-2 years postdoc experience is an advantage while Ph.D. graduates with no prior experience are also welcome to apply.

Requirements

As a Data Science Engineer at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data from which predictive models, actionable insights, and solutions can be developed.

You will interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and improvement of existing tools. In this position, you will help develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. There will be significant opportunities to perform exploratory and new solution development activities.

Responsibilities include, but not limited to:

• Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets.
• Experience in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning. Exposure to the semiconductor industry is a plus but not a requirement.
• Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
• Strong software development skills.
• Strong verbal and written communication skills.
• Experience with or desire to learn:
• Machine learning and other advanced analytical methods
• Fluency in Python and/or R
• pySpark and/or SparkR and/or SparklyR
• Hadoop (Hive, Spark, HBase)
• Teradata and/or another SQL databases
• Tensorflow, and/or other statistical software including scripting capability for automating analyses
• SSIS, ETL
• Javascript, AngularJS 2.0, Tableau
• Experience working with time-series data, images, semi-supervised learning, and data with frequently changing distributions is a plus
• Experience working with Manufacturing Execution Systems (MES) is a plus
• Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are plus, but this is not a research position

Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

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 Research Engineer will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems
• The Research Engineer will help to develop machine learning models for both theory and applications in advanced control systems

Job Requirements

• B.S. or M.S degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Chemistry, etc.
• Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
• Any experience with 1) advanced control, 2) machine learning theory and applications, and 3) chemical engineering and chemistry is a plus

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

The job is for automated high-throughput experimentation and robotic development, running AI-driven automated worklows for thin film development, electrical and opto-electronic characterization as well as device applications. The RF will be responsible for building a fully automated robotic platform to execute the scientific goals laid out in the project, with multi-layer perovskite film deposition and crystallization, followed by rapid characterization to create a database (primarily building upon the SpinBot system we have purchased from SciPrios: https://www.sciprios.de/lab-automation/spincoating-robots/ ). The RF is also expected to execute optimization algorithms developed by the team to identify relevant regions of interest in the input parameter space. Python programming, database management and robotic interfacing (both with robots and electrical and mechanical equipment) is necessary for this job.

The work is critical in the goal of materials-by-design, especially considering sparse, yet well-labelled materials science datasets. The work performed here will continue to maintain NTU’s leadership in the space of AI for materials science, especially with digital discovery and data-driven learning being pioneering areas of research.

Key Responsibilities:

The Research Fellow is expected to work in the space of High-Throughput experimentation and automated robotics for synthesis, thin film deposition and electrical and opto-electronic characterization. Specifically, the RF is expected to work on the following areas of research:

• Building a self-driving lab with robots, spin-coater and/or doctor blade coating systems, integrated with sample transfer and electrical and opto-electronic characterization.
• Operating and maintaining the robotic systems and working with protocols, interfacing with characterization equipment, environmental chambers, and a data management system.
• Execute optimization algorithms that allow for fully automated experimentation, working closely with other members of the team.
• To assist in the creation and maintenance as well as performance of experiments in a self-driving thin film lab along with driving the scientific goals of the project, hypothesis generation and working closely with a 4-member PhD team.

Job Requirements:

• PhD degree in materials science, physics, chemistry, electrical engineering and/or related field
• Strong previous experience in building and assembling robotic systems, especially in materials research is critical.
• Experience in solution-based materials deposition is necessary, especially in halide-perovskite based systems.
• Skills and experience in quantitative research, robotics and electrical characterization and interfacing.
• Expertise in materials characterization techniques is necessary.
• Good analytical and academic writing skills
• Must also be informed in data management
• A good team player with effective communication skills and the ability to work closely with faculty, staff and external collaborators
• Good project management skills
• Entry level candidates are welcome to apply

We regret to inform that only shortlisted candidates will be notified.

10 years to 15 years

Responsibilities:

• You will be working with survey data, public datasets (e.g., census data), or experimental data.

• Responsible for cleaning data, handling missing values, filtering data, and dealing with outliers, which is essential in any research context.

• You may need to merge or join different datasets, and KNIME has nodes for combining data from multiple sources like Excel, CSV, databases, or APIs.

• Use KNIME compute basic descriptive statistics like means, medians, standard deviations, and percentiles.

• Visualize distributions, histograms, boxplots, and scatter plots to help you identify trends or anomalies in the data using Knime.

• You should correlation matrices or pair plots to examine the relationships between variables in your social research dataset.

• T-tests, ANOVA, Chi-square Tests For hypothesis testing, you can run statistical tests to compare groups or associations

• Use KNIME for linear regression, logistic regression, or multivariate analysis to study relationships between variables.

• Analyze complex survey data with many variables, factor analysis or PCA can reduce dimensionality and identify key underlying factors.

• Use KNIME for structural equation modeling (SEM), which is commonly used in social research for understanding relationships between observed and latent variables.

• Integrate geospatial data processing to visualize and analyze spatial patterns.

• Connect KNIME with GIS tools (like QGIS) to map trends and perform geospatial analysis.

• Using KNIME drag-and-drop interface for training and testing machine learning models.

• Leverage KNIME’s integration with tools like Tableau or Power BI for storytelling and sharing insights with stakeholders or a non-technical audience.

• Import survey data from CSV files or a database.

Key Skills Required:

• Building workflows using KNIME Analytics Platform

• Use KNIME Nodes For various tasks, such as data input/output, data cleaning, statistics, machine learning, etc.

• Integrates KNIME with Python and R for further analysis.

• Use KNIME’s reporting tools or integrate it with external tools for advanced reporting and dashboards.

• Additional Knowledge Areas:

• Survey Design & Sampling: Understanding how to design surveys, sample populations, and handle biases in data.

• Social Science Theories: Knowledge of theoretical frameworks that guide quantitative research in the social sciences, like social stratification, political behavior, or economics.

• Data Ethics & Privacy: Awareness of ethical considerations in social research, especially regarding sensitive data.

• Familiarity with scripting and data collection platforms WinCATI, Sensus and Forsta is must.

We regret to inform that only shortlisted candidates will be notified.

EVO Outsourcing Solutions Pte. Ltd

• RCB No. 202233837K

A*STAR Infectious Diseases Labs (A*STAR ID Labs) is seeking for a Research Officer to join us in our mission to be a leading centre of infectious diseases research. A*STAR ID Labs aims to develop a cohesive A*STAR response to drive and deliver translational infectious diseases research to better health and economic outcomes.

The laboratory headed by Dr. Marco Vignuzzi is leading cutting-edge virology and antiviral and vaccine therapies. We are seeking a motivated and fast learner to participate in projects involving the development of RNA therapeutics.

Job Description:

• Produce and assay RNA using techniques such as in vitro transcription, qPCR, and next generation sequencing
• Perform molecular biology assays such as molecular cloning and Western blots
• Perform irological assays in cell culture for a wide variety of RNA pathogens, including chikungunya virus, Zika virus, dengue viruses, enteroviruses
• Perform meticulous recordkeeping and draft reports and presentations to collaborators
• Oversee daily laboratory activities and help manage the lab’s routine admin duties
• Help new students and postdocs settle into the lab, transfer techniques to them, and participate in their research
• Ensure safe technical practices and procedures

Job Requirements

• Bachelor Degree in Biomedical Sciences, Biochemistry, Life Sciences, Biological Sciences, Infectious Diseases, Microbiology, Immunology, or related field
• At least 3 years wet lab experience and relevant experience in molecular biology and in cell culture
• Experience with RNA techniques (RNA extraction, qPCR, next generation sequencing, northern blotting) is preferred
• General lab skills in molecular biology (cloning, PCR)
• Highly motivated and able to work independently and multitask
• Team player with good interpersonal skills
• Good spoken and written communication skills
• A strong desire to constantly learn and acquire new 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.

Amethyst Partners is a specialised recruitment organisation in the asset management industry and due to a team expansion, we are currently looking for Junior Researchers to perform the following:

• Assist Recruitment Consultants with effective and timely assignment delivery.
  
• To undertake executive research, and candidate management activities, and keep candidate and client information updated.
  
• Conduct researches to identify suitable candidates for each candidates including targeted market mapping, talent pooling, database searching, networking and headhunting
• Building relationships with candidates and keeping track of their career goals and progress
• Approach suitable candidates and screen against agreed competencies and criteria for each project.
  
• Capture and maintain accurate market, client and candidate information on the company’s database
• Maintain database and other ad-hoc assignments

Business Registration Number: 201824722D. Licence Number: 20C0180. EA Personnel Registration Number: R1762339