87 computer-interfaces-phd "UCL" Postdoctoral positions at Rutgers University in United States
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: 279052 Minimum Education and Experience: PhD degree in Health Informatics, Biomedical Informatics, Information Science, Health Sciences, or a related field Prior experience with applied
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participate in group meetings Position Status Full Time Posting Number 26FA0692 Posting Open Date Posting Close Date 11/30/2026 Qualifications Minimum Education and Experience PhD degree in Health Informatics
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: 278296 Minimum Education and Experience: Minimum Education: Ph.D. in chemistry, physics, computer science, or a related field, or Ph.D. expected by May 2027. Experience: Demonstrated experience in at least
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Position Details Position Information Recruitment/Posting Title Postdoctoral Researcher in Theoretical and Computational Chemistry Department Chemistry & Chemical Biology Salary Details $63,968
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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
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in this position is contingent upon adequate grant funds. Position Status Full Time Posting Number 26FA0741 Posting Open Date Posting Close Date Qualifications Minimum Education and Experience A PhD in
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, 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
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an office setting. Applicants must be physically capable of interfacing with computers at a swift rate. Overview Statement Posting Details Special Instructions to Applicants Applicants should provide a cover
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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
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in collaboration with local and international partners. The Postdoctoral Associate will design, execute, and interpret computational analyses for large-scale genomic, transcriptomic, and epigenomic