962 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" positions at National University of Singapore
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for Maritime Studies (CMS), Institute of Data Science (IDS), Institute of Operations Research & Analytics (IORA), Institute for Mathematical Sciences (IMS), Lloyd’s Register Foundation Institute for the Public
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immunophenotyping of colonic tissues. Develop and optimize small animal models of colitis to investigate the mechanistic role of SCFA-producing microbes in mucosal repair. Perform data analysis using computational
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systems, ensuring data protection, integrity, and timely recovery. Develop, maintain, and test disaster recovery (DR) and business continuity (BCP) plans for critical services. Security & Compliance
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: Perform tasks and support all aspects of the research project. Conducting literature reviews and scoping reviews; synthesize and summarize research findings. Support data acquisition, cleaning, management
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activity. 7. Names of four referees with contact details (who will be contacted only if shortlisted). In accordance with the Personal Data Protection Act (PDPA), please provide consent for the collection
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processed.) To provide Admin support for student related processes including documentation, preparation and collation of students' data using Monday.com platform, onboarding students and other processes
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materials using DFT (VASP) and molecular dynamics with machine learning force fields is desired. • Experience and skills in scientific programming (e.g. Python or C/C++) and data analysis, including
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oral and written communication skills Possess or have an interest in developing technological and digital skills, including proficiency in Microsoft Office applications More Information Location: Kent
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to the following: - Support research in sero-surveillance and mucosal immunity of viral pathogens with a major focus on laboratory work and some minor bioinformatic analyses to generate high-quality research data
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experience, offering hands-on experience in integrating spatial data with qualitative and survey-based insights. The project team consists of Principal Investigator (PI) Professor Elaine Ho (Department