74 computational-physics "https:" "https:" "https:" "https:" research jobs at Cornell University in United States
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Postdoctoral Associate, Theoretical Condensed Matter Physics The Cornell Laboratory of Atomic and Solid State Physics (LASSP) seeks a Postdoctoral Associate to join the research group of Professor
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Milstein Program Postdoctoral Associate Call for Applications: Milstein Program Postdoctoral Associate Open to Cornell PhD Candidates and Recent Cornell PhDs The Milstein Program in Technology 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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of the experiment, from data analysis to detector operations and HL-LHC detector upgrades. The successful candidate is expected to engage actively in CMS measurements as well as the smart pixels program (https
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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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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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Cornell University, Empire AI Fellows Program Position ID: Cornell-Empire AI Fellows Program-PDCS [#30971] Position Title: Position Type: Postdoctoral Position Location: New York, New York 10044
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scientific leadership across the Center’s three pillars: conservation research, conservation technology, and capacity sharing. The Assistant Director leads the Center’s terrestrial research program, oversees
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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