101 computer "https:" "https:" "https:" "https:" "Dr" "UCL" Postdoctoral positions at Cornell University
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UnitedKingdomTime, listed until 2026/05/01 04:59 AM UnitedKingdomTime) Position Description: Apply Position Description Postdoctoral Associate – Dairy Science and Veterinary Medicine Dr. Matthias Wieland’s Laboratory
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Postdoctoral Associate, Computational - Yu Lab, Weill Institute for Cell and Molecular Biology hold a recent Ph.D. in computational biology, bioinformatics, computer science, or a closely related field by
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Postdoctoral Associate in Multi-omics analysis Postdoctoral Associate in Multi-omics analysis Dr. Serpa’s Laboratory - Cyte Department of Population Medicine and Diagnostic Sciences College
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, United States of America [map ] Subject Areas: Data Science Bioinformatics / Clinical , Computer Science , Mathematics , statistics Nutrition Medicine Public Health (more...) Epidemiology Salary Range: $62,232 to $88,745
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ranges reflects 9-month annual salary) Unique applicable skills. Application Materials Required: Further Info: https://www.duffield.cornell.edu/eas/ 2161 Snee Hall 112 Hollister Dr. Ithaca, NY 14853
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AM) Position Description: Apply Position Description Postdoctoral Associate in Multi-omics analysis Dr. Serpa’s Laboratory - Cyte Department of Population Medicine and Diagnostic Sciences College
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or neuroscience are encouraged to apply. Details of Dr. Hu’s laboratory, ongoing research projects, and recent publications can be found at https://hu.wicmb.cornell.edu/ . Successful candidates should have a recent
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assess candidate functions using CRISPR and transgenic approaches. Anticipated Division of Time Research (55%): The Postdoctoral Associate will play a leading role in conducting experimental, computational
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. The incumbent will join a research group led by Dr. Dena J. Clink to develop, evaluate, and apply quantitative methods for large-scale biodiversity monitoring and conservation. The research will leverage existing
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executing experiments to interrogate host-microbe interactions, analyzing and interpreting microbiome sequencing and/or metabolomics data, developing novel computational or analytical approaches