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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 2 hours ago
based on deep learning to accelerate the physics simulation for membrane relevant processes, which can be based on physics-informed neural network, data-driven models, and hybrid simulation models
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Doctoral student in physics-guided foundation model for time-series data Reference number REF 2026-0434 Join us to develop physics-guided, data-driven foundation models for multivariate time-series
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next-generation pumping technologies for future electrified energy systems. We are currently recruiting a PhD candidate at DTU for a project on the multi-physics modelling of bearingless pumps. A
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PhD Position - Operando X-ray Characterization of Catalytic Interfaces for Chemical Hydrogen Storage
facilities. Your Profile A completed Master’s degree (or equivalent) in chemistry, physics, chemical engineering, materials science, or a closely related discipline (essential). Strong interest in
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Preparation of scientific publications and presentations Participation in conferences in Germany and abroad Supervision of Master students (optional) Your Profile Masters degree in Physics or Material
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Profile A Masters degree in materials science, chemistry, physics, chemical engineering, electrical engineering, or a related discipline Strong motivation for hands-on research in thin-film materials
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interdisciplinary research environment of the Black Hole Initiative, with the opportunity to interact and collaborate with researchers across astronomy, physics, engineering, and the history and
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International Max Planck Research School on Astrophysics at Ludwig Maximilians University Munich, Germany | about 2 months ago
Planck Institute for Extraterrestrial Physics (MPE) University Observatory Munich, LMU (USM) Max Planck Institute for Astrophysics (MPA) European Southern Observatory (ESO) The IMPRS provides a highly
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for reproducible science contribute to the HDS-LEE graduate program through active engagement Your Profile A Master's degree with a strong academic background in physics, mathematics, computer science
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insights for diagnosing and controlling defects and lay the foundation for a thermal physics-based approach to process qualification. Additive manufacturing (AM) is a rapidly evolving technology that