763 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation"-"U.S" positions at The University of Chicago
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responsibilities will span all stages of research, including collecting data in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical analyses, running
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active member of the Employer Relations team to develop and implement a year-round marketing strategy to identify and source employment opportunities for the wide range of interests and job levels
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research group develops statistical and machine-learning tools for high-dimensional and spatial data, with a particular emphasis on applications in plant microbiology and microbial ecology. The group
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research in computational biology, single-cell ‘omics-based and multimodal machine learning (ML), and, for the candidate with appropriate skills, quantum computing algorithms and software for applications in
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Department ARD Social Sciences Division About the Department Alumni Relations and Development (ARD) engages alumni (~220k), current students, parents and friends of the University through
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weather events and align closely with established physical climate principles and AI theory. Contribute to algorithm development and foundational model design for innovative AI weather and climate
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Department Booth Leadership Development for MBA Programs About the Department The University of Chicago Booth School of Business is the second-oldest business school in the U.S. and second to none
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and manages the execution of Subawards, Sponsored Consulting Agreements, and Subaward Amendments. Works with a broad array of sponsors, interpreting regulations and guidelines of multiple program
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stressful situations. Learn and develop skills. Maintain a high level of alertness. Pay attention to detail. Perform multiple tasks simultaneously. Prioritize work and meet deadlines. React effectively
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, with software development experience in multiple programming languages, including Python and R. Next generation sequencing bioinformatics knowledge, preferentially with previous cancer and clinical