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involving the emergent high velocity air fuel (HVAF) and high-power axial plasma spray (APS) processes. Two distinct research tracks envisioned for the PhD student positions are: (i) utilizing alternative
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others. Open Search in Theoretical Physics: This is a broad search in theoretical physics with particular emphases in theoretical particle physics, plasma theory and computation, and theoretical condensed
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Particle Acceleration is looking for a PhD Student (f/m/d) Multimodal Reconstruction of Laser-Electron Accelerator Phase Space using Physics-Informed Deep Learning. Your tasks Understand the physical
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satisfaction, professional development, and engagement for all group members. We are committed to both physical safety and the psychosocial work environment. The group is international and regularly hosts
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research activities are organized around three main areas—Combustion, Non-equilibrium Plasmas, and Transfer Physics—along with a cross-disciplinary program in Applied Mathematics. Where to apply Website
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Physics and AI: Physics-Informed Machine Learning (PIML): Physics-informed neural networks, with applications to Fluid dynamics, plasma physics, elasticity, weather modeling AI for Scientific Discovery in
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Developing state-of-the-art Space Weather forecast tools School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof Robertus von Fay-Siebenburgen Application Deadline
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are foreseen, applicants must be ready to travel Applicants must be eligible to enroll on a PhD program at TU Dresden (see https://tu-dresden.de/ing/maschinenwesen/postgraduales/promotion?set_language=en
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groups with interests in astrophysics at the Princeton Plasma Physics Lab and in the Physics, Geosciences, and Mechanical and Aerospace Engineering Departments, and at the nearby Institute for Advanced
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must be ready to travel Applicants must be eligible to enroll on a PhD program at TU Dresden (see https://tu-dresden.de/ing/maschinenwesen/postgraduales/promotion?set_la… ) LanguagesENGLISHLevelExcellent