123 professor-computer-science-"https:" "https:" "https:" "https:" "University of Cambridge" Postdoctoral positions at Rutgers University
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dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview
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-derived human neurons. The applicant should have strong background in neuroscience and/or biomedical engineering or computer science. The applicant should be able to perform small animal surgeries
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are in compliance with the necessary trainings (both at the lab and at the institutional level). Minimum Education and Experience: A PhD degree in Computer Science, Electrical/Computer Engineering, or a
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rise projections and/or (b) climate risk assessment and management. The candidate will join the Rutgers University Earth System Science & Policy Lab (earthscipol.net) , under the direction of Professor
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mechanisms of various brain disorders using murine models and iPSC-derived human neurons. The applicant should have strong background in neuroscience and/or biomedical engineering or computer science
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and Behavioral Neuroscience (CMBN) at Rutgers University–Newark seeks a Post-Doctoral Associate with strong prior training in neuroscience, cognitive science, psychology, public health, kinesiology
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Status Full Time Posting Number 26FA0207 Posting Open Date 03/09/2026 Posting Close Date 06/15/2026 Qualifications Minimum Education and Experience Terminal degree in life sciences or chemical sciences
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- Regular Salaried Payroll Designation PeopleSoft Seniority Unit Terms of Appointment Staff - 12 month Position Pension Eligibility ABP Qualifications Minimum Education and Experience A PhD degree in Computer Science
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for the independent conduct of a significant element of a larger research activity in algal and seaweed biotechnology, computational biology, and genetics aimed at developing platforms for generating valuable
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for the independent conduct of a significant element of a larger research activity in algal and seaweed biotechnology, computational biology, and genetics aimed at developing platforms for generating valuable