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The Lewis-Sigler Institute for Integrative Genomics at Princeton University | Princeton, New Jersey | United States | about 1 month ago
Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other quantitative
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Ludwig Princeton Branch, Princeton University | Princeton, New Jersey | United States | about 1 month ago
/computational mass spectrometry Employer Ludwig Princeton Branch, Princeton University Location Princeton, New Jersey Salary 65,000-70,000 Closing date 27 Oct 2026 View more categories View less
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Ludwig Princeton Branch, Princeton University | Princeton, New Jersey | United States | about 1 month ago
biochemistry Employer Ludwig Princeton Branch, Princeton University Location Princeton, New Jersey Salary 65,000-70,000 Closing date 27 Oct 2026 View more categories View less categories Discipline
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-institutional research initiative across the University of Delaware (UD), Delaware State University, University of Florida, University of Pennsylvania (Penn), Princeton University, and other partners, supported
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Carrasquillo Lab, National Center for Complementary and Integrative Health, National Institutes of Health | Bethesda, Maryland | United States | about 2 months ago
, National Institutes of Health We are seeking highly motivated postdoctoral fellows with expertise in single-cell transcriptomics, spatial transcriptomics, computational biology, bioinformatics, and/or
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and collaboratively Demonstrated problem-solving and organizational skills Certificates/Credentials/Licenses M.D. or PhD required The doctoral students should hold a degree in Bioinformatics
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degree for PhD applicants or a PhD for postdoctoral applicants in molecular biology, biochemistry, biotechnology, bioinformatics, computational biology, biostatistics or a related field.Experience in
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computational biology, bioinformatics, systems biology, genomics, computer science, or a related quantitative field. You have demonstrated experience in analyzing and integrating complex large-scale