406 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" Fellowship research jobs in Singapore
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an emphasis on technology, data science and the humanities. We are seeking a highly motivated and innovative senior research scientist to join our cutting-edge project at the intersection of RNA therapeutics
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. • Experience with data analysis using statistical inference techniques. • Experience with health economic evaluations. • Experience with parallel and/or high-performance computing. • Familiarity with agent-based
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(DoE) plan Plan and execute experiments Capture and analyse data Resolve technical problems Perform technical research and technical report writing Requirements: PhD in Mechanical, Electrical and
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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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expanding its range of education and research activities. Key Responsibilities: To be involved in a research project related to marine geophysics and data analytics; Key responsibilities include development
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, conferences and ARI social events. Other benefits that the University provides and information about working at NUS and living in Singapore are available at Why Join Us . Terms and conditions, according
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reactions, or transport mechanisms. • Experience in data-driven modeling or machine learning applied to membrane materials or separation performance analysis is a strong advantage. • Candidates with strong
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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count data, offering a rare opportunity for applied research and experimentation. The postdoctoral research fellow will be supervised by the principal investigator Dr. Adrian Chong from the Department
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an emphasis on technology, data science and the humanities. Our research focuses on uncovering the cellular, molecular and metabolic mechanisms driving cardiovascular and skeletal diseases. We are a dynamic