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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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integration. The research will result in three main publications covering lessons learned, design development, and prototype testing. In the final project phase, the doctoral researcher will spend 6 months
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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
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engineering in a unique way. The Atomic Scale Processing group (Prof. Miika Mattinen) in the Department of Chemistry and Materials Science (CMAT), is now looking for: Doctoral researcher (PhD student) in thin
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community. The School of Chemical Engineering ( CHEM School ) is one of the six schools of Aalto University. It combines natural sciences and engineering in a unique way. The Atomic Scale Processing group