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) at the National University of Singapore (NUS) is a leading multi-disciplinary institute devoted to developing new paradigms for understanding biological functions in health and diseases from the perspective of cell
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microbiome data and provide biological interpretations to refine hypotheses and experimental designs. Support wet-lab researchers by assisting with critical experiments to validate computational predictions as
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Sciences, Cancer Biology, Pharmacology, or related fields. Strong hands-on experience with animal models of cancer, particularly mouse xenograft models. Proficient in in vivo techniques: oral gavage
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Associate Professor Duane Loh on conducting research at the interface of Machine Learning and Bio-imaging under a project on Learning Spatiotemporal Motifs In Complex Biological Systems. The main
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of Singapore (CSI) at the National University of Singapore is seeking a highly qualified and independent Research Fellow to lead and contribute to cutting-edge research in cancer biology. The successful
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The applicant should have: Ph.D. in a related discipline in Biology, Bioengineering and four years of related experience or an equivalent combination of skills, education, and experience. Prior experience working
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (OR/EID/NLB) Posting Start Date: 24/06/2025 Job Description: Job Description The Signature Research Programme in Emerging Infectious Diseases (EID) aims to pioneer the development and discovery of new and more effective methods...
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stem cell biology research would be an advantage. The successful candidate will manage and execute research projects (including design, conduct, collection of experiments and data analyses) and provide
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researchers from NUS and other non-NUS institutions to conduct their research on RG3 biological agents. It also supports the Singapore National Public Health Laboratory activities such as RG3 pathogen
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Responsibilities - The research fellow will be expected to lead the design and implementation of studies aimed at understanding reproduction and ageing biology - Presentation of data internally and externally