169 formal-verification-computer-science Fellowship research jobs at National University of Singapore
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University of Singapore invites applications for Research Fellow / Research Associate to be involved in The Integrated Women’s Health Program (IWHP) longitudinal cohort and the MUSE Randomized Control Trial
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focused on immuno-oncology imaging and engineering, nucleic acids nanotechnology, computational biomedical imaging. We are seeking a person with preferred experience in cancer immunology, immune engineering
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from the Department of Civil and Environmental Engineering. This position is part of an exciting research program advancing separation technologies (i.e., membrane and electrochemical) to solve pressing
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(SSR) at the Faculty of Arts and Social Sciences, National University of Singapore (NUS), would like to invite suitable candidates to apply for a full‐time position as Research Fellow. The appointment
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The applicant should have: Ph.D. in a related discipline in Biology, Bioengineering and four years of related experience or an equivalent combination of skills, education, and experience. Prior experience working
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recognition in the field. Job Requirements PhD in Computer Science, Mathematics, or a related discipline. At least two years postdoctoral experience. Extensive publication record at leading cryptography and
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in Computer Science, Mathematics, or a related field. Strong publication record in leading cryptography and theoretical computer science conferences. Demonstrated ability to conduct independent
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related discipline (Neurobiology, Computer Science, Statistics, Epidemiology, Systems Biology, Computational Biology). ● Proven research track record with publications or preprints in relevant domains
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related discipline (Neurobiology, Computer Science, Statistics, Epidemiology, Systems Biology, Computational Biology). ● Proven research track record with publications or preprints in relevant domains
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from the Department of Civil and Environmental Engineering. This position is part of an exciting research programme aimed at advancing the multi-robotic wire-arc directed energy deposition technology and