122 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "P" Fellowship positions at National University of Singapore
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problem statement and/or a research scope is defined by the PI and the staff. The staff will need to execute the plan experimentally and interpret the data critically. The staff will need to report to
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organizational needs of the project team, and preparing high-level project plans with project timeline and resource requirements Development of data analysis frameworks. Plan, supervise and perform (if necessary
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using computational pipelines for microbiome and metabolite profiling, ensuring high scientific rigor and reproducibility. Contribute to manuscript writing, conference presentations, and preparation
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that will support regulatory approval and market access. Requirements • Doctoral degree in computer science or statistics. • Commensurate experience (2 years) in clinical research. • Experience with
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Plan and perform the collection and organization of corporate financial and sustainability disclosures Plan and perform the collection and organization of information regarding government policies and
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expected, and familiarity with modern machine learning methods will be considered an asset. NUS offers a vibrant research environment, with access to high-performance computing facilities and opportunities
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culture assays to assess cell–material interactions. Integrate experimental and computational workflows; analyse, document, and report results. Prepare scientific manuscripts and grant proposals
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, or related fields majoring in Computational Fluids Dynamics (CFD); • Well informed and knowledgeable in urban climate modelling; • Highly experienced in using environmental simulation tools, such as
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discipline (statistics, mathematics, computational biology, data science). Strong programming skills (R preferred) Statistical competence (Bayesian is advantageous) Please email the PI at ephdbsl
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, Atmospheric Sciences, Urban Climate, Architecture Engineering, Building Science, or related fields majoring in Computational Fluids Dynamics (CFD); Well informed and knowledgeable in urban climate modelling