111 parallel-computing-numerical-methods-"DTU" Fellowship positions at National University of Singapore
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for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in
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of Patient Reported Outcome Measures using advanced psychometric methods and publication and dissemination; Establishing an independent research programme derived from the current project; Providing support
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environmental design, human well-being, and quantitative assessment methods. Experience with landscape visualisations, data analysis, computational modelling, information modelling, or human-centred research
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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
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focuses on mechanical and morphological evolution of the insect heart, as part of the recently funded Human Frontier Science Program (HFSP) grant awarded to Prof. Young’s lab. The heart is one of the first
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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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) The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena
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aspects of health at NUS and in Singapore, and beyond; and to develop interdisciplinary translational research and evaluation methods to support our evidence-based approach. We aspire to become the leading
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using advanced methods. Research Preparation: Lead and assist in preparing research studies, grant proposals, ethics applications, and presentations. Research Management: Coordinate research activities
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expertise in biostatistics, bioinformatics, or computational biology. The successful candidate will join a dynamic and interdisciplinary team focusing on the development and application of novel statistical