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Job Description Apply now Req Id: 34197 Job Title: Post-Doctoral Research Assistant - Computation Fluid Dynamics, CIVS City: Hammond Job Description: Job Summary Purdue University Northwest (PNW
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project investigating mechanosensing in Diptera. This post will focus on using detailed wing geometry models and kinematic measurements in computational fluid and structural dynamics simulations to recover
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
association with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks a postdoctoral or more senior research scientist to develop hybrid models for sea ice that combine coupled climate models and machine
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 5 hours ago
fluid dynamics code and the NEQAIR radiative solver. Comparisons of DPLR/NEQAIR results to EAST measurements reveal several discrepancies which may be addressed by improving model fidelity and input
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control, from combinations of computational fluid dynamics and experimental data. You will join the Australian Centre for Robotics (ACFR), at the University of Sydney. The ACFR is one of the largest
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. Application deadline: 22 June, 2025 For questions, please contact: Associate Professor Xin Zhao, Fluid Dynamics xin.zhao@chalmers.se *** Chalmers declines to consider all offers of further announcement
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research areas relevant to the project: solar magnetic field modelling, computational fluid dynamics, or solar observational data analysis. Working knowledge of at least one scientific computing environment
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Chen in the Mechanical Engineering department at Embry-Riddle Aeronautical University specializes in the development and application of computational models for thermo-fluids transport processes
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materials relevant to thermal energy storage, including conducting structural characterizations and studying their thermophysical properties. Proficiency in computational fluid dynamics (CFD) simulation
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machine learning techniques for dynamic energy system modelling Develop advanced optimization algorithms for building energy management and control (e.g., MPC, RL) Develop and evaluate digital co-simulation