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Field
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. Minimum Requirements • PhD in a quantitative field, including physics, neuroscience, mathematics, statistics, computer science, or related fields. • Strong quantitative background including at least some
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, mathematics, statistics, documentation, records management, data utilization, complex problem solving, critical thinking, resource management, and writing skills. Skills and abilities: This will vary based
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Education/Experience A PhD in natural resource economics, mathematics, geography, environmental studies, natural resource management, or similar disciplines Experience and/or training with rules-based models
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(community interventions, community-based participatory research, meta-analysis and bias in research, RCT methods, causal interference, mathematical modeling, and econometrics) Policy research related
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Group Apply now to Postdoc - UCSB Physics Department (Exoplanets)/Bowler Research Group Job #JPF02906 Physics / College of Letters & Science - Mathematical, Life, and Physical Sciences / UC Santa Barbara
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Apply now to Postdoc-UCSB Physics Dept. (Galaxy Evolution)/Casey Research Group Job #JPF02904 Physics / College of Letters & Science - Mathematical, Life, and Physical Sciences / UC Santa Barbara Position
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, data science, mathematics, or closely related fields (e.g., physics) Demonstrated experience with data science, especially statistical hypothesis testing, uncertainty quantification, pattern analysis
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Requisition Id 14757 Overview: Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security. We are seeking a Postdoctoral Research...
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require close collaboration with members of the Neutron Technologies Division, the Neutron Scattering Division and the Computer Science and Mathematics Division, as well as project members from other DOE
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fields include (but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering. • Experience in deep learning, machine learning and medical imaging processing