110 computational-physics "https:" "https:" "https:" "Univ" "Univ" Postdoctoral positions at Cornell University
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Humanities Scholars Program Postdoctoral Associates Call for Applications: Humanities Scholars Program Postdoctoral Associates Open to Cornell PhD Candidates and Recent Cornell PhDs Eligible
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] Subject Areas: Physics / Hard Condensed Matter Theory , Machine Learning , Material Science , Physics , Quantum Information Science , Soft Condensed Matter Theory , theoretical condensed matter physics
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Associate will receive $70,000.00 in salary as well as a modest research budget and moving allowance. More information about the ILR School can be obtained at our web site, http://www.ilr.cornell.edu and
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formative and summative assessments of systems-thinking skills at the course and program levels; support scaffolding systems-thinking pedagogy across the E&S curriculum. The position is supported by Cornell’s
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about the ILR School can be obtained at our web site, http://www.ilr.cornell.edu and CAROW at https://www.ilr.cornell.edu/carow . Requirements: Applicant must have a PhD in labor relations, sociology
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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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computational biology, bioinformatics, computer science, electrical engineering, or a related field. 3+ years of experience achieving impactful results including publications using relevant AI/ML/related
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Postdoctoral Associate, Computational – Yu Lab, Weill Institute for Cell and Molecular Biology A ComputationalPostdoctoral Associate position is available in the Yu Laboratory at Cornell University
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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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include designing and executing experiments to interrogate host-microbe interactions, analyzing and interpreting microbiome sequencing and/or metabolomics data, developing novel computational or analytical