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Field
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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 20 hours 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 | 20 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
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pressure-temperature measurements with advanced x-ray platforms. This includes working in optimizing applicaton of APS-Upgraded high brightness and high coherence beam across APS and at HPCAT and
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motivation to enhance our multidisciplinary research at the intersection of control theory and machine intelligence. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control