123 phd-in-image-processing "https:" "UCL" Postdoctoral positions at Rutgers University
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commercialization of new pharmaceutical products Requires a PhD. https://hope.rutgers.edu/ Position Status Full Time Posting Number 26FA0178 Posting Open Date 03/01/2026 Posting Close Date 09/30/2026 Qualifications
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for NIH-funded laboratory in the Department of Genetics at Rutgers. The laboratory research uses mouse systems to study processes relevant to human reproduction using genetics, molecular biology
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clinical research on pharmacology, toxicology, and exposure science. Dr. Bernstein’s research team has access to outstanding facilities of Genomics, Genetics, Proteomics, Confocal and high-content imaging
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required. The selected candidate will obtain appropriate training in crystallization and crystallographic computing, microscope alignments, data acquisition, image processing and structure calculation using
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equipment for biochemical, cellular and molecular biology experiments: centrifuges, spectrophotometer, electrophoresis, imaging equipment, etc. Excel spreadsheets, Word processing software, and graphing and
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candidate(s) must hold a PhD or MD degree in Neuroscience or relevant biological sciences. Prior experience with cell culture, biochemistry, and cell imaging techniques are required. Certifications/Licenses
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Number: 269896 Minimum Education and Experience: The individual must have completed a PhD in biology, biochemistry, molecular biology, or metabolic engineering with extensive computational research and lab
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, the Postdoctoral Associate will investigate hippocampal and cortical circuits during navigation and goal-directed behaviors using large-scale electrophysiology, in vivo imaging, optogenetics, and computational
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options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits
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Posting Close Date 05/31/2026 Qualifications Minimum Education and Experience PhD or MD in biomedical engineering, data science, computational sciences, neurobiology, psychology, epidemiology, cognitive