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Field
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Research Scholar to join in research efforts of interest to its faculty. Domains of interest include nonlinear partial differential equations, computational fluid dynamics and material science, dynamical
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, calibration, and application. Experience with computational methods including steady-state modeling, dynamic simulation, computational fluid dynamics (CFD) to support system design and performance optimization
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not limited to active matters, population dynamics, evolutionary ecology, pattern formation, fluid dynamics and turbulence. The appointment will be for two years, with possible extensions depending
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urban models and computational fluid dynamics (CFD) simulations can improve the prediction of urban airflow and the effects of Urban Air Mobility (UAM) operations. Urban environments present complex
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computing, or computational fluid dynamics. Programming experience, preferably in Python, C++, and/or MATLAB. Ability to work both independently and collaboratively. Excellent analytical and problem-solving
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. Possible research topics include: Scientific machine learning Numerical partial differential equations (PDEs) Computational fluid dynamics Neural operators High-performance computing Data-driven
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will investigate how detailed 3D urban models and computational fluid dynamics (CFD) simulations can improve the prediction of urban airflow and the effects of Urban Air Mobility (UAM) operations. Urban
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Science and Engineering Dynamics and Controls Systems Energy and Climate Fluid Mechanics Lasers and Applied Physics Materials and Mechanical Systems Robotics. This position is not eligible for sponsorship
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research spans the following broad areas: Complex systems: Nonlinear dynamics and Data assimilation, Statistical physics, Fluid dynamics and turbulence, Condensed matter physics, Biological Physics; Space
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Czech Technical University in Prague, Faculty of Nuclear Sciences and Physical Engineering | Czech | 3 months ago
(DMA) and flow-through bioreactors, determining the barriers that affect in vitro–in vivo correlation (IVIVC) factors, comparison of static and dynamic loading of implants in simulated body fluids