JOB DESCRIPTION

We are seeking to recruit a highly motivated Research Fellow to investigate the rules in cancer antigen discovery, towards therapeutic and preventive therapy. Project involves mass spectrometry, immunology and computation. Initial contract of 2 years, extendable for another 2 years subject to positive performance.

JOB REQUIREMENT

• Ph.D. in Immunology or Cell Biology or Biochemistry or Mass Spectrometry
• Expertise in T-cell engineer highly preferred
• Interested in data and computation
• Solid publication record and strong scientific writing skills
• Strong motivation and energy to lead project
• Good organisational, verbal and interpersonal skills
• Need to be a team player

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 processes 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 Prof. Sun Rongfeng on online decision making under a project on “Fundamental Limits for Statistical Learning”.

The main responsibilities of the position include:

(i) To perform excellent research with Prof. Sun Rongfeng and his team of students and research fellows, leading to publications in top venues on probability theory, in particular in random graphs;

(ii) To teach one class in the Mathematics department per year.

Qualifications

• Qualifications / Discipline: Ph.D. in Mathematics (Probability Theory)

• Skills: Strong research in probability theory, and in particular, in random graphs.

• Experience: 4 years of doing research on probability theory and random graphs

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Fellow under the Chronic Illness and Long-term Care Research Programme in the Alice Lee Centre for Nursing Studies (ALCNS), National University of Singapore. The vision of ALCNS is Inspiring Health for All and our mission is to nurture nurses to advocate health for all through pursuing excellence in nursing education, developing innovative researchers, and serving with compassion and humility. There are five research programmes in the school, more information about the school is available at https://medicine.nus.edu.sg/nursing/. Appointments will be made on a 1-2 years contract basis, with the possibility of an extension.

Purpose of the post

The Research Fellow (RF) will work closely with the Programme Chair and Core team members to engage in thorough research, generate impactful papers for publication in top-tier academic journals; and successfully obtain competitive funding for the research programme.

Main Duties and Responsibilities

The Research Fellow will be able to:

1. conduct independent and collaborative research in the field of chronic illness, under the supervision of senior faculty mentors;
2. develop and implement research projects, including study design, data collection, analysis, and interpretation;
3. publish research findings in high impact peer-reviewed journals and present at academic conferences and seminars;
4. contribute to the development of grant proposals to secure funding for research projects;
5. assist in the supervision and mentorship of honor and graduate students involved in research activities;
6. contribute to the dissemination of research findings to the broader community through outreach activities, including public lectures or community engagement initiatives;
7. participate in departmental meetings, research seminars, and other academic activities to contribute to the scholarly environment of ALCNS.

Qualifications

The applicant should have:

1. a doctoral degree (Ph.D. or equivalent) in Nursing or a related field from an accredited institution;
2. a strong background and expertise in nursing research, with main focus on chronic diseases (e.g. coronary heart disease, hypertension, diabetes, etc.);
3. a track record of scholarly productivity, including publications in reputable peer-reviewed journals;
4. experience in quantitative and qualitative research methodologies;
5. ability to work independently as well as collaboratively within a multidisciplinary team environment;
6. excellent written and verbal communication skills;
7. prior experience in grant writing (securing external funding is an advantage).

Application

Remuneration will be commensurate with the candidate’s qualifications and experience.

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to this job portal.

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 processes only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The Department of the Built Environment at the National University of Singapore hosts the Centre for 5G Digital Building Technology (5GDBT), which focuses on several key research areas. These include:

1. Smart Facilities Management (FM) through Digital Twin (DT) technology.
2. Integration of Robotics and Internet of Things (IoT) sensors.
3. Exploration of Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (XR).
4. Advancements in 5G Network Technology.
5. Implementation of a Common Data Environment for the integration of Smart Technologies.

The primary objective of the Centre for 5GDBT is to play a pivotal role in Singapore's digital research transformation, aligning with the nation's goal of achieving nationwide 5G coverage by 2025. The Centre for 5GDBT aspires to become a leading hub for digital building technology, focusing on impactful research, comprehensive education, and the adoption of best practices. Its strategy involves leveraging 5G connectivity, cloud-based DT technology, and robotics for applications in Smart FM and the Built Environment (BE) industry. Ultimately, the Centre seeks to revolutionise the design, delivery, and management of Singapore's BE.

The Centre for 5GDBT is in search of a Research Fellow (RF) with a proven ability to lead and execute research projects independently. The role requires a strong foundation in managing research projects and a deep understanding of smart technologies within the Built Environment (BE) industry, specifically in the Facilities Management (FM) domain. This encompasses expertise in technological competencies and smart technologies such as robotics (e.g., cleaning robots, concierge robots) and IoT devices.

The RF will be tasked with not only the technical aspects of research projects but also administrative and managerial responsibilities associated with them. Additionally, they will play a crucial role in supporting PhD students by offering academic and research guidance, collaborating closely with the Principal Investigator (PI), Dr Shah. Ideal candidates should bring substantial research experience in relevant fields, possess robust data analysis skills, and demonstrate proficiency in programming.

The selected candidate will engage in both academic development and hands-on fieldwork, collaborating with fellow research staff and students. This will be carried out under the guidance and supervision of the Principal Investigator (PI).

Job Requirements

• Hold or be in the process of obtaining a Ph.D. (i.e. is in the final stages of PhD studies meaning submitted thesis or pending oral defence) in a relevant field, such as Computer Science, Building Science, or related disciplines.
• Demonstrate a proven track record in effectively managing and actively participating in advanced theoretical and computational research projects.
• Able to develop robotic use-cases for Smart Buildings and Smart Facilities Management
• Working with integration of Digital Twins with Robotics and IoT sensors
• Possess strong programming skills, with specific knowledge or experience in the areas listed below:
  • Digital Twin
  • Robots = Message Queuing Telemetry Transport (MQTT), Robot Operating System (ROS) 1 & 2, Python, Java, C++
  • Cameras = Localised LAN Server, Video Management Server (VMS), Streaming RTMP
  • Display = Remote PC Display
  • Experience in API, APKs, SDKs, UI/UX
  • Experience in Artificial Intelligence (AI), ChatGPT, Video Analytics
  • Developer:
  (1) AI detection models for Andriod
  (2) Video Analytics (MobileNet, TensorflowLite, Kotlin)
  (3) Andriod Apps Developer
  (4) Live Streaming Andriod Apps
  (5) Live Broadcasting Andriod Apps
  (6) Backend Video Server Developer
• Skills listed below would be strongly preferred:
  • Video Analytics Detection Models
  • Large Language Models (LLM)
  • Artificial Neural Networks
• Working with integration of Digital Twins with Robotics and IoT sensors, Generative AI, Smart Cameras, Drones
• Exhibit exceptional communication skills, both written and verbal, and demonstrate proficiency in team management. The candidate should also showcase independent problem-solving abilities.
• Fluency in oral and written English is essential to effectively collaborate and communicate within a diverse research environment.
• Experience in writing proposals and paper publications
• Ability to contribute to and lead the development of academic papers for publication in reputable and high-impact journals, reflecting a commitment to scholarly excellence.
• Proven capability to mentor and guide research staff and students, fostering a collaborative and innovative research culture.
• Display a keen interest in staying abreast of emerging technologies and methodologies within the specified research areas, continuously contributing to the intellectual advancement of the team.
• Previous experience in securing research funding, collaborating with industry partners, and participating in interdisciplinary research initiatives would be considered advantageous.

Job Description

A Postdoctoral Genomics Scientist position is available immediately at the IMCB Cell Fate and Therapeutics Laboratory. The lab is interested in understanding cell fate determination, singleanalytics and developing novel tools and strategies to derive desired cell types for therapeutic applications.

Applicants with a strong background in next-generation sequencing, singlecell genomics and spatial analysis are invited to apply. Successful candidates must be highly motivated, have a passion for research and be able to work in an interdisciplinary environment.

Job Requirements:

• Ph.D. with a strong research background in singlecell genomics and spatial analysis
• Knowledge of biostatistics highly desirable
• Excellent analytical, technical and problem-solving skills
• Self-starter who is comfortable working in a fast-moving interdisciplinary team
• Strong publication record in peer-reviewed journals
• Committed and able to work flexible hours
• Excellent communication, technical writing and presentation skills

Recipient of the esteemed International Translational Neuroscience Award, Dr. Yan, a pioneer in Brain Tumor research, joins IMCB to establish the NeuroPhenomics Lab. This lab marks a new chapter in our quest for profound biological insights and their translation into biomarkers and therapies.

The lab"s mission revolves around a profound exploration of brain tumor biology, particularly focusing on key driver mutations like IDH1 and IDH2. These mutations, significant in the development of aggressive malignant gliomas, are pivotal in altering chromatin and genome methylation, thus influencing tumor evolution. The lab extends this research by identifying other genetic alterations with potential clinical relevance.

Dedicated to exploring new frontiers, the NeuroPhenomics Lab integrates advanced techniques in genetics, epigenetics, and metabolomics at both single-cell and spatial levels. This approach allows for a detailed examination of tumor cell diversity and their interactions within the microenvironment. The lab also investigates neurometabolism, emphasizing the TCA cycle and IDH enzymes, and studies how metabolites affect the brain and tumor progression.

Aiming to bridge research and clinical application, the lab"s multi-dimensional strategy includes iPSCs, patient-derived organoids, transgenic models, and advanced imaging technologies. This positions the NeuroPhenomics Lab at the forefront of developing transformative therapies in neurooncology and neurometabolism.

Job Opportunity:

Join the NeuroPhenomics Lab in its endeavor to redefine brain tumor genomics. We seek individuals with a strong background in Computer Science or Bioinformatics, particularly in data analysis, to contribute to our innovative research.

Key Qualifications:

• PhD in Bioinformatics, Computer Science, Biostatistics, or a related field with a research focus.
• Individuals planning to pursue PhD training (at NUS or NTU) are also welcome to apply.
• Expertise in bioinformatics and next-generation sequencing data analysis.
• Experience with Single-cell sequencing and Spatial-omics data analysis is a plus.
• Familiarity with developing AI models for visual recognition of imaging data.
• Experience in applying research to train Large Language Models (LLM) is advantageous.
• Preferred experience in Computer-Aided Drug Discovery.
• Exceptional analytical, technical, and problem-solving skills.
• Ability to work independently and thrive in a dynamic team environment.

We are looking for a Senior Scientist (laboratory head) who is highly motivated, collaborative, passionate for research, committed to laboratory ethics. The laboratory head will be leading an ongoing IMCB-Mandai Nature joint project on biobanking of different wildlife species samples (live cells, tissues) and the generation of induced Pluripotent Stem Cell at the Endangered Species Conservation via Assisted Reproduction (ESCAR) lab.

Job scope includes the following:

• Lead the biobanking management and advance endangered species cell culture methodology for different taxonomic groups.
• Liaise and work collaboratively with academic and industry researchers from related fields to strengthen regional and local networks.
• Engage with academic and industry collaborators and stakeholders in conservation-linked organizations.
• Provide lab maintenance guidance, record keeping, reporting, safety, and other miscellaneous lab activities.
• Direct involvement in wet and dry lab experiments using techniques such as cell culture, molecular and cellular biology, microscopy, image analysis.
• Present important scientific findings at international, regional and local conferences.
• This job description serves to illustrate the scope and responsibilities of the post and is not intended to be an exhaustive list of duties. You will be encouraged to share and bring in new ideas to strengthen the ongoing project and perform other job-related tasks requested by your reporting officers. This is an opportunity to be involved in authorship of journal papers and multidisciplinary collaborations.

Job Requirement:

• PhD degree or equivalent in Biological / Life Science disciplines or equivalent field with at least 5 years of laboratory research leadership experience. Passion for wildlife conservation.
• The following research experience is mandatory:
• Proficient in molecular biology techniques (e.g. DNA and RNA isolation, qRT-PCR, sequence analysis, plasmid cloning, protein analysis and western blot), data analysis (E.g RNA-seq)
• Experience in generation of iPSC’s especially of wildlife species
• Immunostaining, microscopy and image analysis (e.g. FISH)
• Experience in handling tissue samples for derivation of cell lines
• Ability to multitask, work independently and as part of a team
• Ability to show initiative, problem solve and achieve agreed objectives.
• Excellent communication (verbal and written), presentation, interpersonal skills, with the ability to successfully manage a team and maintain effective communications with collaborators
• Ensure continuous professional development by keeping up to date with all technical knowledge and skills in line with current best practices.

The following laboratory skills are desirable:

• Stem cell biology and differentiation.
• Transcriptomics, metabolomics and proteomics with advanced bioinformatics analysis.
• Flow cytometry, FACS and high throughput screening analysis.

Summary:

At Kunlun-2050 Research Singapore, we welcome you to become a part of our team as a Research Intern for multi-modal content generation.

Kunlun-2050 Research Lab is at the forefront of fundamental research in AGI. This is a great opportunity to put theory into practice, learn from top researchers, and contribute to a groundbreaking R&D landscape.

Key Responsibilities:

• Conduct cutting-edge research in multi-modal content generation (video, audio, image), ensuring findings are published in prestigious conferences and journals.
• Identify and tackle complex problems in multi-modal content generation under the guidance of expert mentors.
• Develop algorithms, insights, or data collections that address key aspects of higher research objectives.
• Utilize and contribute to cutting-edge tools and methods in multi-modal content generation, applying these advancements to product development.

Desirable Experience:

• Preference for candidates who can commit to a full-time internship of at least 6 months.
• Engaged in a PhD program in computer science or a related STEM discipline, with a focus onimage/video/audio generation.
• Demonstrated excellence in research with publications in top-tier conferences or journals(NeurIPS, ICLR, CVPR, ICCV, ECCV, ICML, or equivalent).
• Exhibit a solid understanding of generative models, where expertise in video generation isconsidered a plus.
• Demonstrate proficient coding skills in deep learning frameworks, like PyTorch and TensorFlow.

Apply:

Interested candidates may send the latest Curriculum Vitae to [email protected] to explore this exciting opportunity.

We are committed to fostering diversity and welcome candidates from all backgrounds to apply. Join us in shaping the future of AGI at Kunlun-2050 Research Lab.

A Postdoctoral Scientist (Bioinformatician) position is available immediately at the IMCB Cell Fate and Therapeutics Laboratory. The lab is interested in dissecting the regulatory switches regulating cell fate determination in healthy and diseased states, while developing novel tools Bioinformatician position

A Bioinformatician position is available immediately at the IMCB Cell Fate and Therapeutics Laboratory. The lab is interested in dissecting the regulatory switches regulating cell fate determination in healthy and diseased states, while developing novel tools and strategies in deriving desired cell types for therapeutic applications.

Applicants with strong background in Bioinformatics and next-generation sequencing data analysis are invited to apply. Successful candidates must be highly motivated, have passion for research and be able to work in an interdisciplinary environment.

Requirements:

• Ph.D./ M.Sc. from a well-recognized institution with a strong research background in Bioinformatics/ Computer science/ Biostatistics or equivalent
• Experience in bioinformatics and data analysis for ChIP-seq, Transcriptomics, Single-cell analytics and Spatial-seq
• Experience with open-source bioinformatics tools
• Excellent analytical, technical, and problem-solving skills
• Knowledge with biostatistics highly desirable
• Self-starter who is comfortable working in a fast-moving interdisciplinary team
• Committed and able to work flexible hours
• Excellent communication, technical writing, and presentation skills

Interested candidates are asked to send a cover letter detailing your research motivations, CV, and the names and email addresses of three references to Jonathan Loh ([email protected]). Applicants can visit the lab website to find out more (http://www.imcb.a-star.edu.sg/php/jl.php).

References:

1) Cipta NO, Chen Y, Loh YH#. H3.3 safeguards haematopoietic ERV-quilibrium Nature Cell Biology 2021(In press)

2) Gautam P, et al., Loh YH#. Multi-species single-cell transcriptomic analysis of ocular compartment regulons. Nature Communications 2021 Sep 24; 12, 5675 #As Corresponding author

3) Xing QR, et al., Loh YH#. Diversification of Reprogramming Trajectories Revealed by Parallel Single-cell Transcriptome and Chromatin Accessibility Sequencing. Science Advances. 2020 Sep 11. 6:37, eaba1190. doi: 10.1126/sciadv.aba1190

4) Xing QR, et al., Loh YH#. Parallel bimodal single-cell sequencing of transcriptome and chromatin accessibility. Genome Research 2020 Jul;30(7):1027-1039. doi: 10.1101/gr.257840.119.

5) Fang HT, et al., Loh YH#. Global H3.3 dynamic deposition defines its bimodal role in cell fate transition. Nature Communications 2018 Apr 18;9:1537

6) Yang BX, et al., Loh YH#. Systematic Identification of Factors for Provirus Silencing in Embryonic Stem Cells. Cell 2015163(1):230-45

7) Agarwal S, Loh YH, et al., Daley GQ. Telomere elongation in induced pluripotent stem cells from dyskeratosis congenita patients. Nature 2010 464, 292-296.

8) Loh YH et al., Ng HH. The Oct4 and Nanog transcription network regulates pluripotency in mouse embryonic stem cells. Nature Genetics 2006 38, 431–440.and strategies in deriving desired cell types for therapeutic applications.

Applicants with strong background in Bioinformatics and next-generation sequencing data analysis are invited to apply. Successful candidates must be highly motivated, have passion for research and be able to work in an interdisciplinary environment.

Requirements:

• PhD with strong research background in Bioinformatics/ Computer science/ Biostatistics or equivalent.
• Experience in bioinformatics and data analysis for ChIP-seq, Transcriptomics, Single-cell analytics, and Spatial-seq.
• Experience with open-source bioinformatics tools.
• Excellent analytical, technical, and problem-solving skills.
• Knowledge of biostatistics highly desirable.
• Self-starter who is comfortable working in a fast-moving interdisciplinary team.
• Strong publication record in peer-reviewed journals.
• Committed and able to work flexible hours.
• Excellent communication, technical writing, and presentation skills.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Natural Language Processing Group at the National University of Singapore invites applications for Research Fellow in the Department of Computer Science, School of Computing, to work on large language models, with application to text summarization.

The initial appointment is for a period of one year contract, with possible extension subject to research funding availability.

Qualifications

The candidate should possess a PhD degree in computer science or a related discipline, and a strong publication record in natural language processing, deep learning, or related areas. Strong programming skills and good command of English (both spoken and written) are also required.

Interested candidates should apply with a cover letter, CV, degree certificates, academic transcripts, names and email addresses of 3 referees.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Construction Performance Analytics & Innovation Research Unit (cPAIRu) at the Department of the Built Environment, National University of Singapore, concentrates on three primary research areas:

1) Project/Organization Management Strategies for Green Building & Infrastructure;

2) Project/Organization Performance Analytics and Innovations;

3) Project/Organization Risk Management and Decision Support Systems.

As a leading international center for research and consultancy in the built environment industry, cPAIRu drives project and organizational innovations and fosters collaborations with both local and international academic and industry partners, while contributing to national development goals through partnerships among students and staff.

The cPAIRu is seeking a Research Fellow experienced in leading and executing research projects independently. The role demands a solid knowledge of project management and an in-depth understanding of digital transformation in the built environment industry. This includes knowledge of technological competencies, organizational readiness, regulatory and strategic developments, applications of smart technology, change management, and performance assessment. The Research Fellow's responsibilities will extend to administrative and management tasks associated with research projects, as well as supporting PhD students by providing academic and research guidance, together with the PI. Ideal candidates should possess substantial research experience in relevant fields, robust data analysis skills, and, preferably, basic proficiency in programming.

The successful applicant will perform academic development work as well as field practical work together with the other research staff/students under the guidance of the PI.

Job Requirements

• Ph.D (or to be conferred) in a relevant field, such as Civil Engineering, Building Science, or related fields
• Solid knowledge and familiarity with project management, technological competencies, organizational readiness, regulatory and strategic developments, applications of smart technology, change management, and performance assessment
• Strong communication, team management, and independent problem-solving abilities
• Fluency in oral and written English

Research Institute: Institute of Molecular Cell and Biology (IMCB)

Principal Investigator: Dr. Radoslaw Mikolaj Sobota

We are looking for a data analyst with a strong interest in working with large-scale datasets and have experience with analyzing molecular -omics datasets such as transcriptomics, proteomics and metabolomics data. The candidate should have a strong interest in biology, understanding human diseases and most importantly be willing to learn. He/she will be involved in large-scale clinical projects and performing data-processing to analysis on mass spectrometry-based proteomics experiments. He/she will be expected to carry out data analysis such as differential analysis, machine-learning techniques, supervised/unsupervised clustering and statistical modelling. The candidate is expected to meet project datelines and present his/her work when required.

Job Requirements

• Bachelor or Masters degree in Statistics, Biostatistics, Computational Biology, Mathematical Sciences, Bioinformatics or other relevant degree.
• Degree in Life Sciences with both wet-lab skills and strong data analytic skills are also welcomed.
• Expertise in handling different types of omics data will be preferred.
• Able to carry out software programming such R or Python (Preferably R).
• Able to work independently.
• Good attitude towards learning, responsible and organized.
• Good critical thinking, communication and interpersonal skills.

Position Summary:

We are seeking a highly motivated and dedicated Scientist/ Postdoctoral Researcher to join our dynamic research team at Dave Wee’s Lab. Our lab focuses on advancing the field of RNA therapeutics, with a strong emphasis on translational research aimed at clinical applications, while also fostering foundational discoveries in the delivery of RNA therapeutics. Our core technology platforms include rational design of antisense oligonucleotides and the development of innovative in vitro and in vivo methods for real-time and high-throughput functional delivery of RNA therapeutics.

Key Responsibilities:

• Research Excellence: Conduct cutting-edge research in the field of RNA therapeutics, with a primary focus on the rational design of antisense oligonucleotides and innovative strategies for RNA therapeutics delivery.
• Experimental Design and Execution: Plan and execute experiments to investigate the efficacy, safety, and mechanisms of RNA therapeutics in cellular and animal models. Utilize state-of-the-art techniques to achieve research goals.
• Data Analysis: Analyze experimental data, interpret results, and draw meaningful conclusions. Present findings at lab meetings, conferences, and in scientific publications.
• Collaboration: Collaborate closely with other lab members, including graduate students and faculty, to drive interdisciplinary research projects and contribute to a vibrant scientific community.
• Technology Development: Contribute to the development and optimization of our core technology platforms for antisense oligonucleotide design and in vitro/in vivo real-time delivery assays.
• Translational Focus: Engage in research activities that have direct implications for the clinical application of RNA therapeutics, actively participating in discussions related to translational strategies.
• Mentoring: Provide mentorship and guidance to junior lab members, including graduate students and research assistants, as needed.

Qualifications:

• Ph.D. in a relevant field of Molecular Biology, Biochemistry, Pharmacology, or a related discipline
• A good background in RNA biology, nucleic acid therapeutics, or related areas.
• Proficiency in molecular biology techniques, cell culture, and animal models. Mouse and colony management experience is a strong advantage.
• Experience with antisense oligonucleotide and nucleic acid delivery technologies is a significant advantage.
• Proven track record of research productivity, including publications in reputable peer-reviewed journals.
• Excellent communication skills, both written and oral, and the ability to work collaboratively in a team-oriented environment.

We are looking for a highly motivated candidate to join our team of researchers applying discovery-directed approaches to elucidate fundamental aspects of eukaryotic cellular form, function, and evolution. Depending on the background and interests of the successful candidate, the work could also focus on the development of new methods to produce useful products from seaweed biomass. Background information on the groups work can be found here: gregoryjedd.com.

Responsibilities:

• Learn and employ methods in microbiology, biochemistry, genetics, microscopy and computational biology
• To maintain a detailed laboratory notebook
• Basic organization and lab administration

Requirements:

• BSc in the life sciences, or related fields
• A good understanding of eukaryotic genetics and cell biology
• Prior experience in lab research
• Experience with microscopy, molecular biology or microbiology
• A keen interest in learning and exploring new subjects

Salary and benefits are commensurable to educational qualifications and working experience of the candidate. Benefits include annual leave, medical and flexi-benefits, etc.

Interested individuals should send their applications (including a cover letter, curriculum vitae, and two to three referees’ contacts/ recommendation letters) to:

Dr Gregory JEDD

Senior Principal Investigator

Temasek Life Science Laboratory Limited

Email: [email protected]

(Please note that only shortlisted candidates will be notified)

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Research Engineer shall conduct experiments on lab-scale and pilot-scale studies of the related process for seawater treatment. The candidate will be handling and collecting seawater samples, and perform physicochemical analyses of the samples from the studies.

Qualifications

• Applicants should have a Bachelor degree in environmental, civil, chemical engineering or related field

• Effective communication skills and inter-group communication.

• Ability to write and converse well in English

• Good organisational skills and adaptability

A Postdoctoral Scientist (Bioinformatician) position is available immediately at the IMCB Cell Fate and Therapeutics Laboratory. The lab is interested in dissecting the regulatory switches regulating cell fate determination in healthy and diseased states, while developing novel tools and strategies in deriving desired cell types for therapeutic applications.

Applicants with strong background in Bioinformatics and next-generation sequencing data analysis are invited to apply. Successful candidates must be highly motivated, have passion for research and be able to work in an interdisciplinary environment.

Requirements:

• PhD with strong research background in Bioinformatics/ Computer science/ Biostatistics or equivalent.
• Experience in bioinformatics and data analysis for ChIP-seq, Transcriptomics, Single-cell analytics, and Spatial-seq.
• Experience with open-source bioinformatics tools.
• Excellent analytical, technical, and problem-solving skills.
• Knowledge of biostatistics highly desirable.
• Self-starter who is comfortable working in a fast-moving interdisciplinary team.
• Strong publication record in peer-reviewed journals.
• Committed and able to work flexible hours.
• Excellent communication, technical writing, and presentation skills.

Research Institute: Institute of Molecular Cell and Biology (IMCB)

Principal Investigator: Dr. Radoslaw Mikolaj Sobota

We are looking for a data analyst with a strong interest in working with large-scale datasets and have experience with analyzing molecular -omics datasets such as transcriptomics, proteomics and metabolomics data. The candidate should have a strong interest in biology, understanding human diseases and most importantly be willing to learn. He/she will be involved in large-scale clinical projects and performing data-processing to analysis on mass spectrometry-based proteomics experiments. He/she will be expected to carry out data analysis such as differential analysis, machine-learning techniques, supervised/unsupervised clustering and statistical modelling. The candidate is expected to meet project datelines and present his/her work when required.

Job Requirements

• Bachelor or Masters degree in Statistics, Biostatistics, Computational Biology, Mathematical Sciences, Bioinformatics or other relevant degree.
• Degree in Life Sciences with both wet-lab skills and strong data analytic skills are also welcomed.
• Expertise in handling different types of omics data will be preferred.
• Able to carry out software programming such R or Python (Preferably R).
• Able to work independently.
• Good attitude towards learning, responsible and organized.
• Good critical thinking, communication and interpersonal skills.

The Research Director is an integral partner for our clients, offering decision intelligence solutions that blend primary research experience, data science, strategy, and experience

to build valuable connections and by acknowledging and responding to changing business requirements. His/ her responsibilities shall include:

• Inspire new thinking, solutions adoption and cultivate client relationships.
• Addressing client business issues and work with team to create values on projects.
• Lead client discussions to ensure successful execution of research activities.
• Oversees conceptualization and development of high-quality research proposals and pursue leads with the team.
• Work with team members to actively identify and solve project management related issues before they arise.
• Guide team members and ensure the quality of all research outputs.

Job Requirements:

• 8-10+ years of integrated research/analytics experience in or adjacent to the market research sector
• Fluency in survey-based research and experience in employing different methodologies.
• Strong client relationship building and networking skills.
• Exceptional written and verbal communication, planning and project management skills at both a peer and management levels.

Summary:

Skywork AI Singapore welcomes enthusiastic and forward-thinking research engineers to join our dynamic team at the Kunlun-2050 Research Lab Singapore. Being a new entrant in Singapore’s R&D landscape, we are dedicated to pushing the boundaries of Artificial General Intelligence (AGI) through foundational and application research, with a particular focus on Foundation Model 2.0 and Agents. Foundation Model 2.0 encompasses various dimensions, including pioneering new foundation modes and applications, optimizing training and inference acceleration, and conducting theoretical studies to enhance interpretability. Our work on Agents delves into both virtual and physical agents, propelling us into the forefront of AGI development.

We invite individuals who share our passion for AGI advancement and are eager to make their mark in the field to apply and become a vital part of our evolving team. Join us to contribute to cutting-edge research and explore the potential for technology transfer into Skywork AI's core products.

Key Responsibilities:

· Implement intricate algorithms and enhance model scalability

· Provide comprehensive engineering support to the research team

· Develop reusable libraries to support research in AGI field, focusing on Foundation Model 2.0 and Agents.

· Collaborate closely with our interdisciplinary team to publish influential research findings in top-tiered conferences and journals, making a significant impact on the AGI community.

· Actively explore technology transfer opportunities into Skywork AI's core products.

Desirable Experience:

· Hold a Bachelor’s degree or higher in computer science, statistics, engineering, applied mathematics, data science or related fields

· Possess more than three years of related work experience

· Demonstrated proficiency in programming languages

· Hands-on experience with deep learning frameworks and familiar with development tools

· Actively contribute to open-source projects

· Achievement in programming competitions and regional contests

· Attain esteemed recognition within the academic and professional community

Apply:

If you're excited to be part of our cutting-edge research team in the AGI space, please send your latest Curriculum Vitae to [email protected] to explore this exciting opportunity.

Skywork AI Singapore is committed to fostering diversity and welcomes candidates from all backgrounds to apply. Join us in shaping the future of AGI at Kunlun-2050 Research Lab. Your contributions can be instrumental in defining our journey as a new start-up in this dynamic field

We are seeking a highly motivated and dedicated individual to join our research team to study plant epigenetics and crop functional genomics. The successful candidates will play a crucial role in performing the mechanisms controlling neural development, pruning, and neurodegenerative diseases using both fruit fly and human brain organoids. The aim of the projects is also to explore mechanisms of neuronal pruning in fruit flies and its implications for autism. The successful candidate is motivated and expected to provide assistance and support for a couple of interesting projects, team up with PhD students or postdocs, and assist in maintaining lab infrastructure. A capable candidate may also have the opportunity to lead his or her research project.

Requirements:

• MSc or BSc (Hons) in molecular, cellular biology, neurobiology, or related biological fields
• Prior experience in lab research
• Ability to design experiments and work independently
• Experience with molecular, cellular biology, neurobiology is preferred
• Ability to work both independently and collaboratively as part of a research team, able to assist in lab organization and administration
• Strong organization skills and attention to detail
• Good communication skills, both written and verbal

Salary and benefits are commensurable to educational qualifications and working experience of the candidates. Benefits include annual leave, medical and flexi-benefits, etc.

Interested individuals should send their application letter and CV with three references to:

Dr YU Fengwei

Senior Principal Investigator

Email: [email protected]

(Please note that shortlisted candidates will be notified)

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The appointee will assist the principal investigator on projects related to digital health, nutrition, obesity management to:

1. oversee the general management of the project
2. undertake the coordination with the designers in user acceptance testing, pilot testing, during and after the implementation
3. provide administrative and other support to the project
4. conduct literature reviews and/or systematic reviews
5. conduct data entry and data analyses
6. assist in preparing both progress and final reports of the project
7. work on other tasks as assigned

Qualifications

The applicant should:

1. have a first degree with good results preferably with a health science background
2. have experience in the process of conducting research;
3. be able to work independently and with a team, have an investigative nature, attention to detail;
4. have knowledge of computer and data analysis applications (such as R, SPSS and MS Office);
5. have good communication skills with colleagues and fluency in English; and
6. have nursing background, or honours degree in nursing is a plus.

Remuneration will be commensurate with the candidate’s qualifications and experience. Preference will be given to those with previous experience in research and project management.

Formal application: Please submit your application, indicating current/expected salary, supported by a CV and full contacts of 3 referees via the NUS Careers Portal.

Humans are diverse, and this diversity influences the properties of our cells, as well as our developmental processes, and disease mechanisms, diagnoses, and treatments. The impact of population-specific genetic variation on disease risk and healthcare is widely appreciated, and this can contribute to health disparities. To build a single cell reference atlas suitable for diverse population groups, we seek to characterise the impact of genes and environment on molecular traits in cells from diverse individuals across the globe. Specifically, we aim to uncover the influence of genetics, ancestry, age and sex on human phenotypes in health and disease.

We are looking for team members who will develop cutting-edge AI/machine learning methods and pipelines to integrate and interrogate gene expression and regulatory profiles of >10 million cells from thousands of donors. Your work will help establish a healthy immune baseline for disease comparisons, and craft and curate atlases of human cells that will transform our understanding of human biology. Successful candidates for this position will have the opportunity to collaborate with, learn from, and contribute to teams across the world studying diverse donors and tissues, including the Human Cell Atlas bionetworks.

Requirements:

• PhD with experience in computational biology
• Mathematical sophistication
• Programming skills in R/Python
• Strong communication skills
• Post-doctoral candidates should have a strong track record, including impactful publications

To apply, please e-mail your CV and names of references to: [email protected], [email protected]

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 processes only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description:

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health at the National University of Singapore (NUS):

Research Assistant (1 year)

We are looking for a full-time research assistant to support an MOE-funded research project on cancer and public health. The successful candidate will work closely with the principal investigator and a team of cancer clinicians and researchers, and will have the opportunity to gain hands-on experience in socio-behavioural research to improve cancer care.

Responsibilities:

• Assist with the administration and management of research projects, including coordinating the research team’s meetings and activities and preparing the research ethics application.
• Conduct research fieldwork, including recruiting participants, coordinating interview schedules, administering informed consent forms, conducting qualitative interviews and transcribing interviews verbatim.
• Conduct qualitative data analysis, and work with the research team in preparing research reports/manuscripts.

Requirements:

• Excellent academic writing and communication skills in English.
• Experience of successfully managing multiple tasks concurrently.
• Some qualitative research skills and experience, including at least some experience with conducting semi-structured interviews and/or analysing qualitative data and interest in learning how to conduct socio-behavioural research in cancer care.
• Highly organized and able to work effectively under pressure, use independent judgement, produce high-quality quality work, and problem solve within time constraints.
• Able to work independently as well as with a team.

Desirable:

• Degree or relevant experience in social science methodology or health care.
• Experience with Atlas.ai/NVivo and R or similar software to manage qualitative data or the interest to learn.
• Experience in conducting qualitative interviews.
• Able to speak Mandarin/Chinese dialects or Malay/Tamil is an advantage as some research participants may only speak their mother tongue.

Recruitment is open immediately and will continue until the position is filled. Applicants should send the following documents during the job application:

1. Cover letter highlighting career goals and relevant experience
2. Curriculum Vitae, containing details of three named referees

Qualifications

• Bachelor’s Degree in a social science or health discipline.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

A full-time Research Assistant position in the team led by Assistant Professor Chua Wei Ling is available at the Alice Lee Centre for Nursing Studies, National University of Singapore. The selected candidate will work closely with the Principal Investigator in the research domains of (i) nursing staffing and patient outcomes and (ii) post-sepsis syndrome.

This position provides an excellent opportunity for candidates looking to further experience in research with a view to a Master’s and/or PhD with the Principal Investigator.

Appointment will be made on a 12-month contract basis in the first instance, with the possibility of extension, depending on project commitments and candidate’s career objectives.

Duties

The appointee will be required to:

1. Oversee the administration and general management of the research projects, including support with grant and ethics application and liaise with relevant stakeholders in preparing research agreements.
2. Conduct research fieldwork, including recruiting and managing participants, data collection, data analysis.
3. Assist in preparing reports and meeting materials for stakeholders.
4. Work on other tasks as assigned.

Qualifications

The applicant should:

1. have a Degree in nursing or health-related disciplines; preferably with some experience in research;
2. be proficient with Microsoft Office Suite applications, e.g., Microsoft Word, Excel, PowerPoint;
3. have excellent project management, organisation, coordination, and problem-solving skills;
4. have excellent interpersonal skills and written and verbal communication skills in English;
5. be a good team player with a strong sense of responsibility;
6. be highly motivated individual with capacity to work independently;

Qualifications

1. Experience in planning, managing, and implementing healthcare-related research projects will be an added advantage;
2. Proficiency in data analysis applications (e.g. SPSS, Jamovi, Stata, R & etc) will be an added advantage;
3. Proficiency in the Chinese Language will be an added advantage as the position will require work with Chinese-speaking participants.

Remuneration will be commensurate with the candidate’s qualifications and experience. Preference will be given to those with previous experience in research and project management.

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 National University of Singapore invites applications for a Research Fellow position in Professor Brian Kennedy’s lab, part of the Department of Biochemistry and the Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine. The lab focuses on basic, clinical and transformative research to add healthy year of life by developing interventions to delay ageing and chronic disease onset, increase healthspan and improve life quality. Appointments will be on a 1-year contract in the first instance, with the possibility of extension.

Purpose of the post

The Research Fellow (RF) will be responsible to, and work closely with, the Principal Investigator and team members to investigate the effects of repurposing drugs and natural products influencing healthspan and lifespan in mice and biological clocks of ageing, work on ageing and system biology to unravel the ageing networks. The RF’s principal role will be to work on modelling, simulating, and analyzing biological processes related to ageing biology.

Main Duties and Responsibilities

The Research Fellow will liaise with the relevant personnel in the department to smooth the process of modelling, simulating, and analyzing biological data and will be accountable to the Principal Investigator (PI). The RF will be able to:

1. Conduct innovative research at the intersection of AI, complex systems science, and dynamical systems related to aging. This involves formulating hypotheses, designing experiments, and analyzing data using advanced computational methods;
2. Develop and implement computational models to simulate biological aging processes. This includes using techniques from physics to model complex biological systems and employing AI to predict outcomes;
3. Utilize bioinformatics tools to analyze large datasets, such as lipidomic and epigenetic data, to uncover patterns related to aging and age-related diseases;
4. Apply machine learning algorithms to interpret biological data, improve understanding of aging mechanisms, and potentially identify new biomarkers or therapeutic targets;
5. Collaborate with interdisciplinary teams across various departments, including biologists, data scientists, and physicists, to integrate findings and methodologies. Communicate research findings through scientific publications and presentations; and
6. Mentor graduate students or junior lab members, provide guidance on research projects, and contribute to the overall intellectual environment of the research group.

Qualifications

The applicant should:

1. Hold a PhD in Biochemistry/Computational Biology/Bioinformatics/Physics or related disciplines;
2. be able to work independently and in a team, have an investigative nature, attention to detail;
3. have strong knowledge on aging biology, complex systems science, computational biology and machine learning as well as proficiency in programming languages such as Python and R; and
4. have experiences in handling and combining large scale multiomics datasets.

Remuneration will be commensurate with the candidate’s qualifications and experience.

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to this job portal.