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Field
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for education and professional development opportunities. Description Fellowship Activities The U.S. Department of Energy (DOE) Science, Technology, and Policy Program is designed to provide opportunities
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Roman Microlensing Data Challenge 2026. Doctoral degree in Astronomy, Astrophysics, or a closely related field such as Physics or Computational Science, required by time of hire. Candidates should possess
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in Machine Learning, Computer Science, Electrical Engineering, Geophysics, Applied Mathematics, or a closely related field. Demonstrated strong research skills, evidenced by high-quality publications
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degree (PhD, MD, or equivalent) or Master’s degree in a relevant field (e.g., Computer Science, Biomedical Engineering, Public Health, Surgery) Experience in clinical research, data analysis, or machine
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. The successful candidate will work in the Data Science and Learning division of the Computing, Environment, and Life Sciences directorate of Argonne National Laboratories. Primary responsibilities will be
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Requisition Id 16104 Overview: The Quantum Heterostructures Group is seeking outstanding candidates for a postdoctoral position in quantum information science. You will conduct experimental
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transformations Present and report research results and publish scientific results in peer-reviewed journals in a timely manner Ensure compliance with environment, safety, health and quality program requirements
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high level of scientific productivity. Ensuring compliance with environment, safety, health, and quality program requirements. Maintaining a strong commitment to the implementation and perpetuation
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grid planning. Design and code efficient algorithms for large-scale optimization problems using the Julia programming language and packages such as JuMP.jl. Experience with Xpress and Gurobi are a plus
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(Harvard, Penn State, Brookhaven, and more) and at x-ray free electron lasers around the world (LCLS, SwissFEL, PAL-XFEL, and more). The candidate will have the opportunity to help shape the research program