1,055 phd-computer-science-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Nanyang Technological University
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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experience in computer sciences Demonstrated experience in handling large size database Knowledgeable in theoretical physics, and at minima basic knowledge in theoretical plasma physics Demonstrated track
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& Requirements: A bachelor’s degree in Statistics, Data Science, Computer Science, Mathematics, or a related field. 2-3 years proven track record in managing large datasets, validating data, and producing
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Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research
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. The position is open-rank, and we welcome applications from candidates with all ranges of experience, right from fresh PhDs to well-established Senior Associate or Full Professors. However, we are primarily
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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Requirements: PhD in a relevant area (e.g. epidemiology, health science informatics). Candidates who have successfully defended their thesis or dissertation are welcome, subject to evaluation on a case-by-case
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undergraduate programs through effective administration of admissions, course registration, and assessment processes. Working closely with program leadership, the role ensures seamless delivery of academic
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The School of Biological Sciences (SBS), College of Science (CoS) at Nanyang Technological University (NTU), Singapore, invites outstanding candidates to apply for the position of Senior Lecturer in
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in Health Research Methods, Epidemiology, Computer Science, or a related field. Expertise in evidence synthesis and clinical guideline methodology such as network meta-analysis, GRADE. Experience with