461 phd-rehabilitation-engineering-computer-science Fellowship research jobs in Singapore
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (Biomaterials engineering ,iHealthtech) Posting Start Date: 14/11/2023 Job Description: Job Description Institute for Health
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Science, Computer Science, Astronomy, Astrophysics, or a related quantitative discipline. • Skills: - Strong analytical and computational skills in data science, statistical analysis, or machine learning
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an emphasis on technology, data science and the humanities. A Research Fellow position is available at A/Prof Yusuf Ali’s laboratory at the Lee Kong Chian School of Medicine, part of Nanyang Technological
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that may be assigned Qualifications Requirements: PhD degree in biomedical engineering or other relevant engineering disciplines from a reputable university Demonstrable good publication track record Highly
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novel computational strategies that go beyond traditional CFD paradigms, Enthusiastic about exploring new AI paradigms and applying them to engineering challenges. We regret to inform that only
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administrative work associated with the program of research as necessary. Job Requirements: PhD degree in communication, psychology, sociology, or a social science related discipline. Strong foundation in survey
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for undergraduate students. Interview and supervise student assistants in the project. Job Requirements (Research Fellow) PhD in Computer Science or a related field (Research Engineer) Bachelor/Master degree in
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available in the Department of Materials Science and Engineering at National University of Singapore. This role involves design, synthesis, and characterization of water-soluble redox-active molecules and
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highly skilled in and deeply passionate about computational electromagnetism and mathematical physics/engineering. The RF should have strong background in computational methods for solving Maxwell’s
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The School of Mechanical & Aerospace Engineering (MAE) invites applications for the position of Research Fellow to undertake a project to develop efficient theoretical, numerical and experimental