98 quantum-computing "https:" "https:" "https:" "U.S" Postdoctoral positions at Cornell University in United States
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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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modeling, LLM and/or NLP, behavioral coding, and/or psychophysiological monitoring. For consideration, please click the link below to apply and submit all required application materials: https
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(CTECH)—a U.S. Department of Transportation Tier 1 University Transportation Research Center dedicated to advancing sustainable technology-enabled mobility for public and planetary health—located in Ithaca
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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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Postdoctoral Associate in Health Systems Engineering Cornell University’s Center for Transportation, Environment, and Community Health (CTECH)—a U.S. Department of Transportation Tier 1 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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socioeconomic implications of transitioning to resilient crops in the Northeastern U.S. and comparable temperate regions. The postdoc will: (1) build geospatial datasets and remote sensing pipelines, (2
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. The Postdoctoral Associate will contribute to quantifying the private value of improved soil health across the U.S. using econometric techniques and combination of large-scale datasets. The start date
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Postdoctoral Research Associate in Transportation Systems Modeling & Urban Mobility Analytics Cornell University’s Center for Transportation, Environment, and Community Health (CTECH)—a U.S
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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