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A Doctoral Researcher (PhD student) in Machine Learning for Electron–Phonon Interactions and Wannier-Based Hamiltonians Aalto University is where science and art meet technology and business. We
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description A Doctoral Researcher (PhD student) in Machine Learning for Electron–Phonon Interactions and Wannier-Based
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from the Finnish Meteorological Institute (FMI), as well as the DR will develop new and improved in-orbit E-sail experiments for future missions in lunar orbit and deep space. The DR will be enrolled
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catalysts can bridge fundamental insights obtained from flat model catalysts with advanced nanostructured electrodes engineered for real-world electrolyzers. This project combines deep dives into surface
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from flat model catalysts with advanced nanostructured electrodes engineered for real-world electrolyzers. This project combines deep dives into surface chemistry with engineering to produce a tangible
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made significant progress in this direction by merging machine learning interatomic potentials (MLIPs) trained on density functional theory (DFT) data, and enhanced sampling techniques to reach the
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, Microelectronics, Computer Engineering, or a closely related field, completed by the start of the position Have a solid background in digital hardware design: Verilog/SystemVerilog RTL, logic synthesis, and place
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excellent study records in Electrical Engineering, Electronics, Microelectronics, Computer Engineering, or a closely related field, completed by the start of the position Have a solid background in digital