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Varela, Professor, alejandro.escalona@uis.no Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/289689/phd-fellowship-in-molecul… Requirements Research FieldPhysics » Statistical
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Physics and AI: Physics-Informed Machine Learning (PIML): Physics-informed neural networks, with applications to Fluid dynamics, plasma physics, elasticity, weather modeling AI for Scientific Discovery in
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. Position description The University of California, Berkeley, Department of Mechanical Engineering seeks applicants for a tenure-track Assistant Professor position in Fluid Mechanics/Fluid Dynamics. We
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of fluid dynamics and thermal behaviour during cryoprinting. Objective 3: Characterise the influence of material formulations and process conditions, including solution composition, cryoprotectant selection
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fabricate microfluidic cultivation chips emulating colon-like oxygen and nutrient dynamics and gradients for high-throughput operation. Therefore, develop and Implement dual-layer gas–fluid architectures
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designing against diffuse pollution. Typically, these processes are studied by laboratory experiments and/or computational fluid dynamics (CFD) approaches, often limited to an idealised patch of stems where a
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exceptional research facilities, including wind tunnels, flight simulators, structural testing laboratories, a new world-class fluid dynamics facilities complex in the Boldrewood Engineering Campus (complete
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team of science and engineering experts. UNNC is part of the University of Nottingham’s Global University, and offers unique teaching and research opportunities in a highly dynamic economy. The
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applications. To achieve this, you will employ computational fluid dynamics (CFD) and machine learning (ML) to investigate degradation mechanisms under various operating conditions and develop strategies
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techniques to model fluid turbulence, fusion plasmas (with a particular focus on inertial confinement fusion target design), and quantum circuit simulators. The work will range from algorithmic and theoretical