16 computational-biology-physics "https:" Postdoctoral positions at Cornell University
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. The Postdoctoral Associate plays a central role in establishing a research program linking field-based disease biology with genomic pathogen surveillance and pangenome scale analysis of fungal pathogens
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York 14853, United States of America [map ] Subject Areas: Bioinformatics Genomics / Plant Computational Biology Genetics / Quantitative Appl Deadline: none Position Description: Apply Position
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of Biological and Environmental Engineering at Cornell University is looking for postdoctoral associate to support, lead and invent projects at the intersection of sustainable energy, synthetic biology, physics
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Materials Required: Further Info: https://cals.cornell.edu/people/lindsey-becker Plant Pathology & Plant-Microbe Biology Section School of Integrative Plant Science 134 Plant Science Building Ithaca, NY 14853
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Postdoctoral Associate - Plant Pathology and Plant Microbe Biology The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and Cornell University’s second largest
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intellectual independence and scientific responsibility. The Postdoctoral Associate plays a central role in establishing a research program linking field-based disease biology with genomic pathogen surveillance
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Biology / Ecology , Natural Resources Sustainability / Sustainability Natural Resources / ecology Ecology / Conservation Biology , Ecology , Political Ecology Appl Deadline: 2026/04/06 04:59 AM
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: Postdoctoral Position Location: Ithaca, New York 14853, United States of America [map ] Subject Areas: Ecology Bioinformatics Fisheries Marine Biology / Underwater Acoustics Natural Resources Appl Deadline
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Bioinformatics, Computational Biology, Genomics, Computer Science, or a related field. Strong programming skills and familiarity with Omics data analysis and integration. Track record of peer-reviewed publications
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comparative genomics, chromatin architecture, gene expression, protein abundance, and metabolite profiling—combined with computational biology, machine learning, and advanced statistical methods. Supported by