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researchers will work in a dynamic team of staff scientists at Argonne National Laboratory. Within the team we have extensive experience with large scale molecular dynamics simulations, first principles
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superconductors. The successful candidate must have substantial experience in state-of-the-art ARPES and/or low temperature STM/STS techniques. Some experience with first-principle methods (FP/DFT) and/or other
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running first-principle models. Experience in analyzing GOLD data. Special Conditions for Eligibility Department Information The Physics Department is comprehensive and provides students a wide choice of
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 2 months ago
optimization methods will be a plus. Key responsibilities Develop, implement, and analyze multi-species models for optimal fisheries management. Integrate bioeconomic principles to optimize catch levels and
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, computer simulations and experiments, both in fundamental and in more applied directions. The center works to advance the understanding of porous media by developing theories, principles, tools and methods
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, the successful candidate will: Develop, improve, and conduct first-principles numerical modeling of heat exchangers, thermal energy storage, and HVAC systems Design, develop, and analyze new HVAC processes and
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Posted on Wed, 09/25/2024 - 12:02 Important Info Faculty Sponsor (Last, First Name): Hernandez-Boussard, Tina Other Mentor(s) if Applicable: Yair Bannett, MD Stanford Departments and Centers: Med
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, computer-aided drug design or a related field. Track record of scientific innovation, as demonstrated by scientific publications, patents, relevant presentations, or software code. Demonstrated experience in
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quantum mechanical calculations (e.g., first principles density functional theory (DFT)) to identify the structures and to understand the complex mechanisms of molecular reactions occurring at the surface
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university of the state, and home to South Dakota’s leading programs in AI. The successful candidate will engage in cutting-edge research projects in machine learning, computer vision, and specialized areas