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Description Short description: The project aims to develop sensors capable of measuring levels of various proteins called cytokines, which are linked to inflammation, in human fluids such as urine. The doctoral
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, stochastic differential equations, computational methods in fluid mechanics and turbulent flows, high-performance computing, machine learning methods in computational problems. GSSI is a world-renowned
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The objective of this post-doctoral research is to
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research in experimental and computational fluid mechanics, hydrology, and earth-surface dynamics. For over 80 years, our innovative and adaptable facilities have attracted trailblazers, problem solvers, and
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RAP opportunity at National Institute of Standards and Technology NIST Development of New Computational Methodologies for Molecular Simulation of Soft Materials Location Material Measurement
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computational fluid dynamics (CFD) simulations, designing advanced combustion systems, and exploring innovative solutions to mitigate engine thermal stress and suppress knock. The research spans multiple topics
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opportunities, including a membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees/benefits/ for more information. Special
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anemometers. Develop Measurement Techniques: Innovate and refine experimental methodologies to quantify uncertainties in fluid dynamic measurement systems. Experimental Data Analysis: Utilize MATLAB, Python
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applications. The project integrates: Computational Fluid Dynamics (CFD) and multiphase flow modeling Radiative heat transfer Machine learning and reduced-order modeling Data-driven optimization for industrial
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- 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 May 2026 Is the job funded through the EU Research Framework Programme? Not funded by