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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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. 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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. The Person Knowledge, Skills and Experience Excellent technical skills in computational fluid dynamics and/or stellar modelling that can be applied to the aims of the project described under ‘The role’ A track
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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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the Department of Radiology at Stony Brook University. The successful candidate will lead efforts to quantify multi-scale neurofluid dynamics, including blood flow and cerebrospinal fluid movement, using state
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laboratory in the Department of Radiology at Stony Brook University. The successful candidate will lead efforts to quantify multi-scale neurofluid dynamics, including blood flow and cerebrospinal fluid
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laboratory in the Department of Radiology at Stony Brook University. The successful candidate will lead efforts to quantify multi-scale neurofluid dynamics, including blood flow and cerebrospinal fluid
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and Engineering Dynamics and Controls Systems Energy and Climate Fluid Mechanics Lasers and Applied Physics Materials and Mechanical Systems Robotics Princeton University is an Equal Opportunity
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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