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Field
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, particularly turbulence in the boundary layer; developing new high-speed measurement techniques, particularly using optical diagnostics methods; augmenting experimental data with Computational Fluid Dynamics
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. The candidate will be required to perform hand-on sample extraction, and bioanalysis in biological fluids (serum, breast milk, dried blood samples), including but not limited to method development and validation
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Vacancies Postdoctoral Researcher in Computational Mechanics Key takeaways Group of Multiscale Mechanics, Department of Thermal and Fluid Engineering, Faculty of Engineering Technology, University
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no particular order): Stability/Instability of coherent structures in 2D/3D flows. Stability/Instability in geophysical fluids and plasma physics. Spectral theory for non-self-adjoint operators. Candidates must
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. The project goals are to evaluate the geochemical characteristics of acid mine drainage (AMD) fluids and treatment solids at sites that are known to be enriched in rare earth elements, cobalt, and other metals
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: prior technical project management experience and excellent communication skills in English; expertise in Artificial Intelligence based Computational Fluid Dynamics frameworks; knowledge of physics
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; knowledge in numerical methods and simulation, particularly for partial differential equations, and basic knowledge in mathematical modeling with/and PDEs, with a focus on fluid or biomechanics, porous media
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to replace ad hoc approaches to porous media with a fundamental understanding of porous media with relevance in biology, chemistry, geology and geophysics based on fluid mechanics, non-equilibrium
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Towson University - Fisher College of Science and Mathematics | Suburb Maryland Fac, Maryland | United States | about 1 month ago
, Maryland 21252, United States of America [map ] Subject Area: Computational Fluid Dynaimcs Appl Deadline: none (posted 2025/02/27) Position Description: Apply Position Description Postdoctoral Lecturer
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focuses on building scalable, accreditation-ready analysis workflows to detect and classify microplastics in complex sample types such as drinking water, plant-based beverages, and biological fluids. As a