118 distributed-computing-"St"-"University-of-St"-"St" Fellowship positions at National University of Singapore
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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
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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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research-based principles; and have knowledge of computer applications, e.g. SPSS, MS office, PowerPoint; Remuneration will be commensurate with the candidate’s qualifications and experience. Informal
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) Programme studies the causes and treatments of cancer and related diseases. The CSCB research groups have diverse programmes in both basic cancer biology and clinical-translational studies, with a special
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aspects of computational modelling, brain-computer interface technologies as well as within NUS focusing on design and application from the lens of landscape architecture. Key Responsibilities: Assist
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tools for High-Performance Computing (HPC) applications. Qualifications/Requirements Qualifications / Discipline: - PhD’s degree in Physics, Materials Science, Computer Science, Data Science, Artificial
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (Building Acoustics) Posting Start Date: 26/05/2025 Job Description: Job Description We are seeking a full-time Research Fellow (Building acoustics or Acoustics Materials) for a 12-month appointment, which may be renewed. This...
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-doctoral researcher to work on Computational Fluid Dynamics (CFD) simulation in the urban wind and thermal environment project. Position is commencing in June 2025. This posting will remain open until a
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) at Duke-NUS Medical School is seeking a Research Fellow to support the ongoing “Future Health Technologies” (FHT1) research programme. FHT1 is dedicated to developing innovative, scalable digital solutions