104 high-performance-quantum-computing "https:" "Simons Foundation" Postdoctoral positions at Cornell University
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) Unique applicable skills. Application Materials Required: Further Info: http://www.infosci.cornell.edu/ Cornell University Information Science Department 236 Gates Hall Ithaca, NY 14853
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Postdoctoral Associate - National Tutoring Observatory, Information Science The National Tutoring Observatory (NTO) will be centered at Cornell’s Ann S. Bowers College of Computing and Information
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acquisition and applied research. The research team has access to more than 100 generative AI models through Cornell’s AI gateway and high-performance computing resources via Empire AI. This position provides
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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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Tuition Assistance Program. All applications should be submitted via Academic Jobs Online at https://academicjobsonline.org/ajo/jobs/31530 . A complete application will include the following material
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York 14853, United States of America [map ] Subject Areas: Genomics / Plant Bioinformatics Genetics / Quantitative Computational Biology Appl Deadline: none Position Description: Apply Position
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Biology with both high-throughput experimental (proteomics and genomics) and integrative computational (network analysis and machine learning) methodologies, aiming to understand gene functions and their
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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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generative AI models through Cornell’s AI gateway and high-performance computing resources via Empire AI. This position provides opportunities to collaborate with leading AI companies, such as Anthropic and
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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