100 computer-science-postdoc Postdoctoral positions at Rutgers University in Ireland-University-Ranking-2024
Sort by
Refine Your Search
-
/or cell biology and be able to perform molecular, cellular and/or electro-physiological experiments. The Postdoc(s) will participate in lab meetings, research in progress seminars, and presentations
-
biology, phage biology, and microbial defense mechanisms. The Semenova laboratory provides a collaborative and supportive environment that fosters scientific independence and career development
-
Position Details Position Information Recruitment/Posting Title Post Doc Associate Department Biomedical Engineering Salary Details $63,968 or other negotiated minimum salary Offer Information
-
, Computer Science, or a related field. Candidates in ABD status (all but degree) will also be considered. If the applicant graduated within 1 year from a PhD or MD training program, no other experience is required
-
Posting Number 26FA0840 Posting Open Date 10/02/2026 Posting Close Date 10/30/2026 Qualifications Minimum Education and Experience PhD in Ecology, Geography, Environmental Science, Biology, Computer Science
-
Experience Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, Physics, Biomedical Sciences, or a related quantitative field or an M.D./Ph.D. / M.D. with a strong computational
-
- Child Health Institute Overview New Jersey’s academic health center, Rutgers Biomedical and Health Sciences (RBHS) takes an integrated approach to educating students, providing clinical care, and
-
Pharmacology Overview RUTGERS CANCER INSTITUTE VISION, MISSION, AND CORE VALUES: VISION: Through our science, our evidence-based actions, our openness, and our respect for those we serve, we will advance cancer
-
neurometabolism This position will tackle fundamental questions in metabolism, work at the interface of clinical and basic science, and contribute to a research program with strong potential to reshape our
-
group led by Dr. David Klinges in the Department of Ecology, Evolution & Natural Resources. Our work combines computational modeling, field studies, and laboratory experiments to understand how