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.

About the Company

Founded in 1997, Trina Solar is the world-leading PV and smart energy total solution provider. On 10 June 2020, Trina Solar issues first A-Shares on Shanghai Sci-Tech Innovation Board, becomes the first PV product, PV system and smart energy company listed on the Shanghai Stock Exchange Science and Technology Innovation Board. Today, Trina Solar is actively accelerating its pace of globalization and the development of its global management team.

Job Title: Market Research Analyst, APAC Region (Based in Singapore)

Description of Key Job Duties:

Market Research:

• Track and collect the dynamic PV market changes (Demand & Supply), evaluate the impact on Country/Segmentation demand; update and review market demand (TAM) forecast;
• Manage, monitor competitive intelligence via diverse channels, focus on ranking, M.share, organization, selling points, business model etc and release reports;
• Interpret third party’s/sale’s/customer’s data into market research;
• Offer insights about product potentials for each market;
• Build partnership and follow up regular communications with third party institutions or consultancies in the region to win the consultancy and third part endorsement in APAC key countries;
• Conduct specific market studies in lined with regional business development strategies, quarterly analysis report for key countries;
• Create research report timely and communicate key findings effectively with external/internal team members;
• Respond to ad hoc reporting requests as needed.

Skills Requirement:

• Bachelor’s degree or above; Major in Mathematics or Statistics is preferred;
• 1-3 years’ market research experience in PV industry;
• Excellent in English and Chinese communication, both speaking and writing in order to liaise with Chinese counterparties, and proficient in Microsoft Excel and PowerPoint;
• Ability to interpret large amounts of data and to multi-task;
• Ability to analyze and resolve problems independently and efficiently;
• Strong interpersonal skills and the ability to build relations at multiple levels and across teams;
• Enthusiastic, self-motivated and excellent team worker;
• Excellent math skills, strong organizational skills and very detail oriented.

Application Process:

If this is the opportunity you have been waiting for and you fit what we looking for, we welcome your application. The application process involves submitting your current resume via e-mail to the following address: [email protected] Please note that only shortlisted candidates will be notified.

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.

COMPANY DESCRIPTION

Headquartered in Singapore, The EtonHouse International Education Group has 120 schools across 11 countries. We run pre-schools as well as K-12 international schools. Together, these schools provide internationally recognized programmes and high-quality education to over 20,000 students globally. The group also runs enrichment programmes and cutting-edge ed-tech programmes to scale the provision of high-quality education in pre-schools.

Over the last 27 years, EtonHouse has been at the forefront of international education in the Asia Pacific region and has won numerous awards. In 2019, our founder, Mrs. Ng Gim Choo won the EY Entrepreneur Of The Year Award in the Education category. In addition, EtonHouse was recently selected to be in the inaugural cohort of the Scale-Up SG programme, which is an Enterprise Singapore programme selecting high-growth potential local companies which can be groomed into future global champions.

With children at the heart of what we do and the vision to make good quality education accessible to every child in Singapore, EtonHouse launched the EtonHouse Community Fund (ECF) in 2015. As an independent IPC charity, ECF continuously runs initiatives to make a difference in the lives of vulnerable children.

EtonHouse Vision

Shaping the future through education

EtonHouse Mission

Developing confident and capable global citizens

Be a part of the EtonHouse family

We welcome passionate and dedicated professionals who share our belief in the power of education. Together, we can make a meaningful difference to children and society through education.

RESPONSIBILITIES

Responsible to: Principal in the execution of professional duties and responsibilities.

As English/Class Teacher to:

• Respect and value each child's social, cultural and religious background and by example, provide mutual respect and tolerance.
• Share in the management of pastoral care, health, welfare and behaviour of all pupils and in particular, those within your designated class group.
• Undertake the teaching of a class in accordance with the school's agreed policies and guidelines.
• Use a variety of appropriate teaching and caring methods to ensure high quality learning takes place.
• Provide planning documents identifying specific learning objectives, differentiated tasks, special needs, extension and assessment, to the Principal or other authorized officer.
• Maintain professional dialogue with colleagues concerning the children, other colleagues and the school. Treat all information with confidentiality.
• Ensure the provision of equal opportunities for all.
• Encourage children to take pride in their own environment and show respect and concern for others, to the benefit of the school as a caring community.
• Be responsible for all aspects of classroom management eg. Care of equipment with resources well-labelled and accessible. Maintain a tidy, well organised room.
• Create an interesting and lively classroom which promotes independent learning.
• Collaborate with Principal and staff in establishing and developing effective pupil assessment procedures and moderation portfolios. Keep appropriate records of achievement for each child in class and provide reports as necessary.
• Build positive links between yourself and parents of children in your care.
• Guide, motivate and monitor classroom helpers in carrying out their tasks.

As Team Member to:

• Collaborate with staff in long-term planning.
• Take corporate responsibility for displays throughout the school.
• Share management and delivery of assemblies.
• Offer and receive advice and guidance on issues that affect the whole school's performance and thos.
• Share your expertise.
• Participate in appraisal procedures and in-service training that provide personal, professional, and career development.

• At least 1-2 years of relevant professional teaching experience in early childhood;
• The candidate should hold a minimum of a Diploma in Early Childhood or Education or equivalent
• Knowledge of or willingness to acquire knowledge of inquiry-based learning is required;
• Applicants must provide original copies of their Certificates and academic transcripts for authentication;
• L2 Certificate (English)

Location: 126 Kim Tian Road

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.

Your future role with QRT

• You will be trading across APAC markets to optimize financing for our fixed income and equity portfolio
• You will work closely with PMs, Prime Brokers, Financing Counterparties and Operations to ensure positions are appropriately traded/financed/rolled/settled
• Managing and monitoring FX and cash balances, identifying and driving opportunities to reinvest capital.
• You will work on and help to develop our toolset and systems to help build the infrastructure that a repo function and wider Treasury group needs to fully support an active trading desk
• Produce and take over daily/monthly reporting pertaining to Repo and Treasury activity/P&L

Your present skillset

• 2-10 years’ experience in repo from ideally buy side but sell side will be considered
• Proficiency in Japanese is a must to work with stakeholders in Japan
• Fixed income experience is a must, equity experience will be good to have
• Excellent mathematical background with a degree in a financial/mathematical field
• SQL and Python knowledge highly desirable
• Excellent team-player
• Excellent communication skills essential

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.

We are seeking a Data Analyst with a fervent interest in large-scale datasets and experience in analyzing molecular -omics datasets, such as transcriptomics, proteomics, and metabolomics. The ideal candidate will have a solid background in computatier science and be eager to contribute to large-scale multi-omic projects by performing tasks ranging from data processing to comprehensive analysis of multiomic data. Responsibilities include executing various data analyses, such as differential analysis, employing machine-learning techniques, conducting both supervised and unsupervised clustering, statistical modelling, and developing deep learning neural networks.

Job Requirements:

• Bachelor"s or Master"s degree in Computer Science or a related field.
• A strong background in brain tumor research.
• Demonstrated expertise in bioinformatics and the analysis of single cell sequencing data.
• Proficiency in using AWS to deploy machine learning and deep learning models.
• Experience in Spatial-omics data analysis is advantageous.
• Skilled in R, Python, Java.
• Capable of working autonomously with a proactive mindset.
• A positive attitude towards learning, along with being responsible and well-organized.
• Excellent abilities in critical thinking, communication, and interpersonal relationships.

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

(1) Design and Synthesis of electrocatalyst for oxygen evolution reaction of water electrolysis.
(2) Structure characterization and simulation of the obtained electrocatalysts.
(3) Performance test and mechanism study of the obtained electrocatalysts.

Qualifications

Master degree in MSE, Chemistry or other relevant majors.

Job Position: Research Engineer

Job Description

We are seeking machine learning and image recognition specialist to join our project team. The ideal candidate preferably has the background in machine learning techniques and image recognition algorithms to solve complex problems and improve project outcomes. You will work closely with a multidisciplinary team to develop, implement, and optimize ML models that are critical to the success of our projects.

• Design, develop, and deploy machine learning models and image recognition algorithms tailored to project-specific requirements.
• Collaborate with cross-functional teams to understand project needs, gather, and analyse requirements, and deliver ML-driven solutions.
• Conduct data collection, preprocessing, and augmentation to create training datasets.
• Implement and optimize image recognition models for accuracy, efficiency, and scalability.
• Evaluate model performance using appropriate metrics and make necessary adjustments to improve outcomes.
• Stay abreast of developments in machine learning and image recognition fields to incorporate cutting-edge technologies and methodologies into project solutions.
• Document model development processes, algorithms, and performance metrics.
• Provide technical guidance and mentorship to team members on machine learning and image recognition best practices.

Required/Desired Skills

• Experience in machine learning and image recognition, with a strong portfolio of project work that demonstrates expertise in these areas.
• Proficiency in programming languages such as Python, and familiarity with ML libraries (e.g., TensorFlow, PyTorch) and computer vision libraries (e.g., OpenCV).
• Experience with deep learning architectures (CNNs, RNNs, GANs) specifically designed for image processing tasks.
• Analytical skills with the ability to solve complex problems independently and as part of a team.

Required/Desired Qualifications

• Bachelor’s or master’s degree in Electronics & computer science, Artificial Intelligence, or a related field.

Experiences

Minimum 3 years’ experience in machine learning and image recognition within a technology/research organisation. Fresh graduate with relevant knowledge and skills will be considered.

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 is on transforming food waste into digestates containing active biomolecules to enhance vegetable growth. Utilizing anaerobic digestion, we aim to recover essential nutrients such as N, P and K from food waste and integrate them into waste-derived hydrogel/biochar for optimal vegetable cultivation, thereby closing the waste loop in farming practices.

The specific aims are:

1. To release nutrients from food waste through anaerobic digestion and optimize the co-digestion process with waste-derived hydrogels.
2. To recover nutrients from the digestate to produce a novel biofertilizer.
3. To develop a prototype of an integrated food waste nutrient recovery system for pilot-scale testing.

Qualifications

• Possess a PhD degree in bioscience, chemical/ biological/ environmental engineering, or other related fields.
• Prepare reports and presentations regularly.
• Publications in the relevant work.
• Team player with good communication and interpersonal skills.

The Research Associate will be involved in primary research and responsible for reaching out to fund managers based in the Asia Pacific region to build relationships and obtain valuable proprietary information. This information consists of investment activities and preferences, fundraising and performance. This is a unique research role, requiring a sales-like mindset to unlock research relationships across the region. The role will also include handling data inquiries, quality assurance, data monitoring for consistency and client engagement regarding our Preqin Pro platform. The role will be based in Singapore.

In this role you will be:

• Proactively communicating and building relationships with key professionals of all levels within the alternative assets industry to obtain valuable proprietary information on past, current and future investment activities including historic performance.
• Holding regular face to face meetings with APAC-based fund managers to gain fundraising and performance data.
• Working actively alongside the APAC sales team to build strategic research relationships with fund managers and other key regional associations.
• Representing Preqin at conferences and networking events.
• Updating Preqin’s online database with key financial information, statistics and analysis.
• Conducting bespoke statistical analysis for clients.
• Liaising with our teams in North America and EMEA, as well as collaborating with other departments in the company, to deliver requests and provide solutions.
• Supporting senior leaders on research projects and regional strategy regarding further data enhancement and development activities.
• Contributing to research reports, blogs and publications occasionally.
• Conducting supplementary public/web research where necessary.

You are a good fit if:

• You have a bachelor’s degree or equivalent, with relevant industry experience of 2 years.
• You possess highly proactive and enthusiastic approach to relationship building.
• You have strong research capabilities and investigative instincts.
• You perform effectively in a target-driven environment, working towards set KPIs and performance metrics.
• You are highly organised, self-motivated and collaborative.
• Regional knowledge of the private capital industry, and alternative assets in general, is desirable.
• Proficiency in Microsoft Excel is desirable but not essential.
• Previous work experience focused on communication and relationship management is highly desirable.
• Additional languages highly desirable as Preqin operates in a global market.

Cumberland - a DRW Company is the cryptoasset arm of DRW, established in 2014 after pursuing an early interest in cryptoassets and their underlying technologies. Today, Cumberland is a global leader in cryptoassets, uniquely positioned between the traditional financial markets and the cryptoasset ecosystem. From our offices in Chicago, London and Singapore, we provide 24-hour access to a wide array of cryptoassets while helping the crypto ecosystem evolve in a responsible, sustainable way.

As a Research Analyst, you will focus on identifying and vetting a wide variety of investment and trading opportunities in the cryptoassets and DeFi sectors. This is a unique opportunity to contribute to the growth of a market leader in the cryptoasset trading ecosystem and benefit from professional development in a highly supportive and collaborative environment.

Responsibilities:

• Publish timely internal and external research on market events
• Analyze new initiatives and products to produce data-driven research reports
• Generate and present investment ideas in the cryptoassets and DeFi sectors based on fundamental research
• Identify and evaluate key valuation drivers, thematic views and industry macro trends; provide real-time news-driven updates
• Participate in the development of event-driven trading opportunities in cryptoassets
• Assist in management of cryptoassets portfolio
• Participate in industry conferences and events

Required Skills & Experience:

• Professional experience in cryptoassets research with a strong understanding of crypto-economics.
• 4+ years of experience in fundamental research
• Proven idea generation and investment track record
• Proficient in technical terminology related to general cryptography and protocol languages
• Extensive experience developing research models, interpreting and reporting on research results and vetting opportunities for investment
• Professional experience using Python (or a similar language) for time series or statistical analysis
• Strong interpersonal, communication and organizational skills
• Must have a sense of urgency and ability to work in a fast-paced environment
• Bachelor’s degree or advanced degree, preferably in finance, economics or engineering
• Previous experience in news-based or event-based research is a plus
• A strong understanding of futures, equities, options, and lending markets is a plus

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

#LI-KS1

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 Mechanobiology Institute (MBI) at the National University of Singapore (NUS) is a leading multi­disciplinary institute devoted to developing new paradigms for understanding biological functions in health and diseases from the perspective of cell, tissue and organ mechanics/dynamics and mechano-signal transduction. The institute operates on a fully integrated open-lab philosophy, with an extensive infrastructure supported by core facilities dedicated to technology such as state-of-the-art light microscopy, nano- and micro- fabrication, and computing.

The MBI is currently inviting applications from outstanding candidates for the Principal Research Scientist position. The institute seeks candidates with a commitment to both independent and collaborative interdisciplinary research in the area of mechanical and dynamical processes in cell, tissue and organ development, aging, repair and regeneration. More consideration will be given to candidates with a strong track record in incorporating computation and modelling with experimental work, and a strong publication record as an independent researcher.

Qualifications

Candidates should have a Ph.D. and post-doctoral training in the relevant fields, demonstrated excellence in research, and an interest in teaching. The selected candidate is expected to demonstrate significant creativity and independence in research, and participate in teaching at the graduate and undergraduate levels.

To apply, candidates should send the following materials:

• Cover letter
• Full Curriculum Vitae with bibliography
• Statement of research interest & Research plan
• Teaching statement
• Contact details (name and email address) of at least 4 referees

Successful applicants will hold joint appointments as Principal Investigators at the MBI and can expect internationally competitive salary and benefits. Shortlisted candidates will be invited for a campus visit interview.

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 group of Assistant Professor Ho Wen Wei (Presidential Young Professor) at the Department of Physics, Faculty of Science, NUS, and Centre for Quantum Technologies (CQT), is seeking a Senior Research Fellow to work on theoretical aspects of nonequilibrium quantum many-body physics and quantum information science.

The main responsibilities of the position include:

- Developing theoretical methods to predict and characterize nonequilibrium quantum many-body phenomena in synthetic quantum matter (cold atoms, Rydberg atoms, trapped ions,etc.), utilizing the lens of quantum information theory (e.g., entanglement, tensor networks). Specific topics include deep thermalization, measurement-induced randomness, measurement-induced entanglement phases, dynamical/driven phases of matter, quantum many-body scars etc.

- Developing quantum information science applications like quantum simulation of complex many-body phenomena, and quantum state preparation and tomography protocols, specifically tailored for current and near-term quantum technologies etc. Analytical calculations and numerical methods will be employed to ascertain the validity and performance of the proposed applications.

There will be opportunities to collaborate with world renowned experimental groups of cold atoms, superconducting circuits and Rydberg atoms, including those at the Centre for Quantum Technologies (CQT) in Singapore, located next door.

Qualifications

• Qualifications / Discipline: PhD in Physics or closely-related field.

• Skills: Candidates should be familiar with quantum many-body theory and quantum-information theoretic tools to analyse them, like entanglement and tensor networks etc. Previous experience with experiments involving quantum simulators is a plus, and expertise in computational methods (exact diagonalization, DMRG, Monte Carlo) is also highly desirable.

• Experience: Candidates should expect to have a PhD at the start of appointment and have published a number of papers relevant to the field of research, in reputable journals.

We are seeking a Data Analyst with a fervent interest in large-scale datasets and experience in analyzing molecular -omics datasets, such as transcriptomics, proteomics, and metabolomics. The ideal candidate will have a solid background in computatier science and be eager to contribute to large-scale multi-omic projects by performing tasks ranging from data processing to comprehensive analysis of multiomic data. Responsibilities include executing various data analyses, such as differential analysis, employing machine-learning techniques, conducting both supervised and unsupervised clustering, statistical modelling, and developing deep learning neural networks.

Job Requirements:

• Bachelor"s or Master"s degree in Computer Science or a related field.
• A strong background in brain tumor research.
• Demonstrated expertise in bioinformatics and the analysis of single cell sequencing data.
• Proficiency in using AWS to deploy machine learning and deep learning models.
• Experience in Spatial-omics data analysis is advantageous.
• Skilled in R, Python, Java.
• Capable of working autonomously with a proactive mindset.
• A positive attitude towards learning, along with being responsible and well-organized.
• Excellent abilities in critical thinking, communication, and interpersonal relationships.

The Signature Research Programme in Neuroscience and Behavioural Disorders (NBD) is focused on understanding the structure and function of the nervous system, and the neural mechanisms underlying human neurological, psychiatric and ophthalmological disorders.

The selected candidate will perform a variety of research activities which include planning, organising and conducting research studies within the overall scope of a research project under the supervision of the Principal Investigator or his/her designate, including but not limited to the following: -

• Manage the day-to-day operations of the laboratory.
• Perform tasks and support all aspects of the research project.
• Conduct accurate monitoring, documenting and reporting of experimental results and/or research findings.
• Assist researchers in programming, data analysis and literature review in various research projects.
• Contribute to project management, presentations and publications of research work.
• Assist with general upkeep of laboratory needs, maintain safety protocols, provide technical support and establish work procedures to ongoing research projects.
• Perform other related duties incidental to the work described therein.

Job Requirements

• Bachelor’s Degree with Honours in Science with minimum 2 years of relevant laboratory managerial experience.
• Previous working experience with Drosophila or mammalian cells is required.
• Have an extensive working experience in molecular biology
• Meticulous, well-organised and have good time management to work in a fast-paced environment.
• Possess strong interpersonal communications skills with excellent written, oral communication and computer skills.
• A strong team player who is open-minded, energetic, highly motivated and can work collaboratively in an interdisciplinary team and diverse workforce.

We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Highly motivated and creative postdoctoral candidates are sought to work at the Yang Zhang Lab, Cancer Science Institute of Singapore, School of Computing, and Yong Loo Lin School of Medicine, at National University of Singapore.

Candidates, who are interested in artificial intelligence (AI) and deep machine learning, protein and RNA structural prediction, protein and peptide design and engineering, and/or protein-ligand docking and drug screening, are encouraged to apply. We are particularly interested in the development of new AI-based approaches to cancer therapeutics, including antibody design and discovery, T cell receptor T cell therapy (TCR-T), and peptide-drug conjugate (PDC) cancer therapy. Focus of our laboratory is more on new and creative algorithm/platform developments rather than application of existing programs. Therefore, skills in computational coding and creativity in scientific method design, together with interest in computational cancer medicine, are critical to the position. Previous experience in machine learning will be a plus. More details on our projects can be found at https://zhanggroup.org.

To apply, please send your CV, a brief description of your research interest and plan, and contact information of three professional referees.

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 Saw Swee Hock School of Public Health at the National University of Singapore is currently seeking a dedicated Research Assistant/Associate in Field Epidemiology to join a multidisciplinary team. This position offers a unique opportunity to engage in innovative research projects in Singapore and Southeast Asia across a range of topics, including spatial epidemiology, infectious disease modelling, ecology, entomology and machine learning. This position will contribute to field epidemiology research projects on the impacts of environmental change on vector-borne and zoonotic disease risks. This work will allow you to collaborate with a broad group of researchers through the Climate, Environment and Health programme (https://sph.nus.edu.sg/research/climate-environment-and-health-programme). You can find out more information about the work led by A/Prof Kimberly Fornace at https://sph.nus.edu.sg/faculty-directory/fornace-kimberly/

Key responsibilities:

• Plan and conduct field epidemiological studies on vector and wildlife distribution across land use gradients in Singapore and Southeast Asia;
• Collaborate with multidisciplinary teams of researchers, including epidemiologists, entomologists, wildlife ecologists and public health experts at universities and government agencies;
• Contribute to design and analysis of field and infectious disease modelling studies in collaboration with project partners;
• Document research output including cleaning, analysis and interpretation of data, development of standard operating procedures and drafting progress reports;
• Present research findings at national and international conferences and publish results in peer-reviewed scientific journals;
• Contribute to grant proposals and reports for funding agencies.

Review of applications will begin immediately and continue until the position is filled. The initial appointment will be for one year with the possibility of renewal based on performance and funding availability. There will be an opportunity to pursue a PhD at NUS if interested. The grade of appointment will be based on qualifications and years of relevant work experience.

Qualifications

• Master’s degree in a relevant field such as epidemiology, entomology, ecology, geography or a related discipline
• Previous experience with field or laboratory studies and willingness to work in remote locations
• Experience with statistical analysis using programmes such as R or Stata
• Excellent written and verbal communication skills, including presenting complex concepts to diverse audiences
• A history of peer-reviewed publications is preferred