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. The preferred candidate should have expertise in thermal fluids (two-phase flows) based on optical imaging and micro/nano fabrication using cleanroom photolithography techniques. Proficiency in English
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. The successful candidate’s research will involve synergistic collaborations within a multidisciplinary team comprised of fellow postdoctoral appointees and staff scientists with computational fluid dynamics and
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4D flow imaging, proficiency in machine learning applications relevant to neuroimaging, familiarity with fluid dynamics and its application to physiological data, and ultrasound imaging is desired
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The Multiphysics Computation Section within the Transportation and Power Systems Division at Argonne National Laboratory is seeking to hire a postdoctoral appointee. The successful candidate’s
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of the following areas: microfluidics, fluid mechanics, leukocyte biology, leukocyte adhesion assays, leukocyte chemotaxis assays, biochemical assays (i.e. ELISAs), blood cell separation, image analysis, flow
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engineering and nuclear-chemical engineering systems Create new reduced-order models and submodels related to the fluid flow, heat transfer, thermochemistry, and electrochemistry in multiphase systems Use
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fluid flow and combustion, to work within the planned programme of research. Informal enquiries may be addressed to Dr Martin Davy (email: martin.davy@eng.ox.ac.uk) For more information about working at
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maintaining oversight on the overall project, and ensuring reporting and communication with the external collaborator. Where will you be working? We are looking for a postdoctoral researcher within the
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structural ratio and low-cost system-integrated avionics. develop mathematical models regarding the fluid-thermal-structure interaction to be used during the vehicle digital system design and to be injected in
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. The role involves setting up experimental models using Particle Image Velocimetry (PIV) and performing Computational Fluid Dynamics (CFD) simulations to analyze fluid flow and deposition patterns. The data