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Field
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physiology, animal models of cancer and cachexia, imaging, histological analyses, and other mechanistic or translational approaches. · Contribute to the development, optimization, and validation
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facilities. The Department of Biomedicine focuses on innovation, entrepreneurship and collaboration with business and industry, and numerous researchers from the department have established companies
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calculations, geometry optimization, and prediction of NMR parameters will be considered an advantage. The candidate should have excellent written and oral communication skills, strong organizational ability
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numerous researchers from the department have established companies to develop new medicinal treatments founded in professional scientific basic research. You can read more about the department here and
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with analytical modeling, reduced-order models, numerical simulation, finite element methods, optimization, or statistical-mechanics-based approaches. Proficiency in one or more programming languages or
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be to develop and implement optimal control solutions for this process. You will contribute to the development of a mock-up dynamic model of the complete system, building on models developed by project
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 1 hour ago
of enhanced recovery techniques in unconventional reservoirs, (2) identify new opportunities for safely and effectively expanding underground natural gas storage operations in the U.S., and (3) optimize
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 21 days ago
and aerodynamics through the use of comprehensive analysis, high-order computational fluid dynamics (CFD), and direct numerical simulation (DNS) tools. The postdoctoral researcher will work with CAMRAD
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selected by MedChem Australia. Your key responsibilities will be to: undertake research in lead candidate optimization publish research papers demonstrate research excellence assist with grant writing and
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, safety and security issues. Besides robustness, systems should also be optimized for high performance and energy-efficiency to realized efficient Embodied/Edge-AI implementations. A key focus will be