133 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" Fellowship positions at National University of Singapore
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research, education, and services in data science, AI, and biomedical computation, building on existing institutional initiatives such as DAISI. We are seeking a highly motivated and talented Research Fellow
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dedicated scientific and technical support for the development of advanced AI methods and foundation models in computational biology, ensuring the timely execution of funded research projects and the
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Pathology in the Emerging Infectious Diseases Signature Research Programme. The candidate is expected to work on a project examining immune responses to viral pathogens and allergic diseases by performing a
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, Biomedical Engineering or relevant disciplines Those with no experience are welcomed to apply Solid publication record and strong scientific writing skills Prior experience is highly preferred Animal handling
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: Research Staff Location_ONB: Outram Campus Posting Start Date: 06/10/2025 Job Description The Signature Research Programme in Emerging Infectious Diseases (EID) aims to pioneer the development and discovery
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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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deliverables such as reports/journal articles, workshops and webinars. Qualifications Applicants should have at least or close to obtaining a PhD in the Social Sciences/Humanities, Computing or other relevant
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pathogenesis, tissue regeneration, and function. We seek to recruit a Postdoctoral Research Fellow to work on a collaborative project between Dr Yin Loon Lee, MBI co-PI, at the Agency for Science, Technology and
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (LCPC/EA) Posting Start Date: 07/01/2026 Job Description: Job Description The Programme in Health Services and Systems Research
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interventions. The programme draws on a richly phenotyped biorepository of stroke patient samples, comprehensively profiled by whole-exome sequencing, RNA-seq, and proteomics, with clinical outcomes tracked over