196 computer-engineer "https:" "https:" "https:" "https:" positions at Rutgers University
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completed all requirements for a PhD in building sciences, engineering, architecture, urban planning, energy or regulatory economics, public informatics, or a related field prior to being hired
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: 255965 Minimum Education and Experience: The successful candidate is expected to: Have a doctorate in clinical psychology or related social science fi eld Have an established, active program of research
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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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Mentor, to support the general functioning of their biomedical research laboratory, and to fulfill the research and teaching requirements of the Rutgers IRACDA, INSPIRE Postdoctoral Training Program. Among
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eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary The scientist will lead the Rutgers CryoEM & Nanoimaging Facility (RCNF), a regional core facility providing access
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technologies. Minimum Education and Experience: Bachelor's degree in computer science, Engineering or related discipline required. Six (6) years of progressively more responsible experience in a technical
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Rutgers School of Health Professions (SHP) is seeking a highly motivated Research Scientist III to join an active research program focused on maternal and cardiometabolic health across the life course in
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degree program, in biomedical engineering, biophysics, physics, biochemistry, or a similar field. Certifications/Licenses Required Knowledge, Skills, and Abilities General wet lab skills are required
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designated lab members. Maintains department database on a computer. Candidate must have competent computer skills and be able to utilize equipment and technology in support of the assigned project(s). Must
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Position Details Position Information Recruitment/Posting Title Lead Software Developer – GPU-accelerated Free Energy Simulation and Machine Learning Methods Department Quantitative Biomedicine Inst