700 phd-computational-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at National University of Singapore
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a PhD in Life Sciences, Biology or related disciplines with expertise in reproductive biology highly preferable. àBe competent in the use of preclinical model organisms for research studies. àBe
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-bed and facilitate large-scale, community-based service innovations through a variety of methods including programme evaluation and social analytics. The Research Fellow will join a dynamic multi
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the Laboratory of Immunity and Immune 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
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the school and for external collaborations. • Configuration of environments and release of applications to Windows/IIS/MSSQL/LAMP environments. • Support of research computing environments including
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closely with the rest of the SGFIN team to support SGFIN’s activities and objectives Requirements Academic background in the following subjects is preferred: computing, information systems, economics
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on the project team Work closely with the rest of the SGFIN team to support SGFIN’s activities and objectives Requirements Academic background in the following subjects is preferred: computing, information systems
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to critic, test-bed and facilitate large-scale, community-based service innovations through a variety of methods including programme evaluation and social analytics The Research Fellow will join a dynamic
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. Requirements PhD in Life Sciences, Biomedical Sciences, or a related discipline. Strong track record of research productivity, including first-author publications. Proven ability to work independently and lead
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industry partners, as required; Ensure the highest standard of professional conduct and compliance in accordance with the institutional guidelines and regulations Qualifications A PhD degree from a reputable
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at international conferences. Writing and publishing in scientific journals. Qualifications PhD in physical geography, ecology, remote sensing, environment science or a related field (preferably less than 3 years