125 computer-programmer-"https:"-"CNR" "https:" "https:" "https:" "https:" "https:" "P" Fellowship positions at National University of Singapore
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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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invites applications for a Research Fellow position in the field of battery fire modelling and safety. The successful candidate will join an interdisciplinary research team working on advanced computational
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Transformation (DHT) Initiative,” a multi-year program to boost public-private partnerships in digital health, data, and AI. This initiative complements the Global Health Equity Network (GHEN), which promotes
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of the project team, and preparing high-level project plans with project timeline and resource requirements Development of research hypotheses Plan and perform the development of valuation framework and advanced
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practices in the fields of biology. Principles, techniques and terminology used in cancer biology. Methods of scientific research and relevant scientific theories. Appropriate computer operations, software
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problem statement and/or a research scope is defined by the PI and the staff. Execute the plan experimentally and interpret the data critically. Report to the PI proactively and take the initiative
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problem statement and/or a research scope is defined by the PI and the staff. Execute the plan experimentally and interpret the data critically. Report to the PI proactively and take the initiative
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year projects, internships, short-term work attachments, and similar programmes Plan experiments and prepare progress reports for regular project updates Perform any other related duties assigned by
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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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. • Join journal clubs. • Conduct a wide range of neural network analysis Job Requirements The project requires a researcher with a • PhD in Computer Science, Biostatistics, Statistics or other related