126 exercise-science-post-doctoral "University of Illinois Chicago" Postdoctoral positions at Oak Ridge National Laboratory in america
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Requisition Id 12725 Overview: The Environmental Sciences Division at Oak Ridge National Laboratory invites applicants for a Post-Doctoral Research Associate in Hydroinformatics. The successful
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) at Oak Ridge National Laboratory (ORNL) is seeking a Post Doctoral Research Associate to perform R&D in the areas of high-penetration or all power electronics grid modeling, stability analysis, and control
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Requisition Id 12699 Purpose: We are seeking a post-doctoral associate to advance science and technology in the areas of machine vision, data science and analytics, and diagnostics for energy
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Requisition Id 12943 Overview: Oak Ridge National Laboratory (ORNL) is the largest US Department of Energy (DOE) science and energy laboratory, conducting basic and applied research to deliver
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-task efforts in molecular biology, NMR, dynamic nuclear polarization (DNP) and macromolecular crystallography, and collaboration with computational scientists developing ML and AI tools for molecular
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Requisition Id 12856 Overview: Oak Ridge National Laboratory (ORNL) is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver solutions
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) at ORNL is seeking to hire two Post-doctoral Research Associates with the skills and creativity to apply water resources engineering knowledge towards the assessment and advancement of innovative water
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Requisition Id 12741 Overview: We are seeking a Postdoctoral Research Associate in physical chemistry and spectroscopy who will support the Nanomaterials Chemistry Group in the Chemical Sciences
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decarbonization technology solutions that enable the use of low-life-cycle carbon fuels with advanced engine technologies with a focus on off-road applications. The successful candidate(s) for this position will
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Requisition Id 12691 Overview: The Manufacturing Systems Analytics (MSA) group at the Oak Ridge National Laboratory (ORNL) conducts applied machine learning and decision science research and