149 phd-computer-science-fully-funded-"IMPRS-ML"-"IMPRS-ML" Postdoctoral positions at Rutgers University
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Posting Open Date Posting Close Date Qualifications Minimum Education and Experience A successful postdoctoral candidate should hold a PhD in structural biology, biochemistry, biophysics or related field
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Number: 256245 Minimum Education and Experience: The ideal candidate should have a PhD in plant molecular biology or genetics. Candidate should also have a record of submitting manuscripts through the peer
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. This postdoctoral associate position will be housed in the Department of Plant Biology at Rutgers University, New Jersey in Vaccinium breeding program of Dr. Gina Sideli. This position will also work with Rutgers and
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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-focused
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Overview New Jersey’s academic health center, Rutgers Biomedical and Health Sciences (RBHS) takes an integrated approach to educating students, providing clinical care, and conducting research, all with
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personnel and purchase requests for lab supplies. Qualified candidates must hold a PhD or equivalent degree in neuroscience, neurobiology, molecular biology, biochemistry, psychology, genetics, pharmacology
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, Electrophysiology, Biomedical Engineering, or Computer Science, or a related discipline required. Certifications/Licenses Required Knowledge, Skills, and Abilities Demonstrated competence in investigation, research
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offer may be determined by several factors, including, but not limited to, the candidate’s qualifications, experience, and expertise, and availability of department or grant funds to support the position
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Minimum Education and Experience PhD, MD or MD/PhD in psychology, cognitive neuroscience, computational psychiatry, or a related field. Proficiency with programming and data analysis using at least one of
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neuroscience research with clinical applications to addiction and other mental health concerns. Our work draws on methods from psychology, experimental economics, human neuroscience, and computational psychiatry