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advanced computing, optimization, and data analytics technologies. The postdoctoral researcher will work with a team of researchers on solving challenging problems using optimization, stochastic models
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a curious and motivated post-doctoral researcher to join our research lab at the Rowland Institute at Harvard. Our research pursuits are primarily in the analytical/physical chemistry field and
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transportation technologies and intelligent transportation systems, (2) data analytics with applications to problems in transportation systems, and (3) transportation equity and sustainability. The postdoctoral
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publication: computational biology/bioinformatics, cheminformatics, analytical chemistry/mass spectrometry/metabolomics, or machine learning/computer science.Term of appointment is based on rank. Positions
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The Energy Systems and Infrastructure Assessment (ESIA) division at Argonne provides the rationale for decision makers to improve energy efficiency. ESIA develops and uses analytic tools to help
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Requisition Details GENERAL REQUISITION INFORMATION EEO Statement: UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals
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, Abilities and Skills: -Strong analytical, organizational, computer and communication skills. -Ability to multi task and work cooperatively with others. Preferred Knowledge, Abilities and Skills: -Strong
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NASA's Jet Propulsion Laboratory, focused on developing a next-generation, GPU-based climate model that learns physics from data to improve the accuracy of its projections. Will collaborate with
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
students in the lab, and presenting data at scientific meetings. Education and Experience: Candidates with a publication history and experience in animal behavior is preferred. The preferred candidate must
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 11 hours ago
Jet Propulsion Laboratory, focused on developing a next-generation, GPU-based climate model that learns physics from data to improve the accuracy of its projections. Will collaborate with oceanographers