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Field
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which wind-farm-induced changes in the atmospheric flow and boundary-layer structure can affect precipitation. Targeted simulations with and without wind-farm effects will be used to quantify
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Heidelberg Institute for Theoretical Studies (HITS gGmbH) | Heidelberg, Baden W rttemberg | Germany | 18 days ago
great opportunity for highly talented young scientists wanting to transition from PhD student to junior group leader. It supports young scientists in exploring their own ideas and testing new hypotheses
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Position Information Posting Number F00795P Position Title Postdoctoral Research Associate Department Electrical Engineering Location Arlington Job Family Faculty Position Status Full-time Rank Post
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, qualification, and deployment of AI agents and models, Computational Fluid Dynamics (CFD) simulation codes, and Finite Element Method (FEM) based tools for nuclear energy (fission and fusion) applications
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: Curriculum Vitae. Cover letter, including your motivation for this specific position. Transcripts from your MSc/PhD degrees. A copy of your PhD thesis will be appreciated. Applicants selected for an interview
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 17 days ago
opportunity? Please email [email protected] Qualifications The candidate should have a PhD in Mechanical Engineering, Aerospace Engineering, Materials Science and Engineering, or a related technical discipline. The
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approach the described task(s); the names and contact details of at least two references; a copy of your PhD certificate or a letter stating when your defence will take place. If this specific opportunity is
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have: A PhD in electrical engineering, energy engineering, mechanical engineering, control engineering, operations research, applied mathematics, or a closely related field. Documented experience in
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, and provides advice on data analysis and interpretation. Required Education: PhD in Welding Engineering, Materials Engineering or related field Desired Education: PhD in Welding Engineering Required
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a sequential decision-making process explored through computational simulation and deep multi-objective reinforcement learning. The project will investigate a simulation platform that reproduces