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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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designed to achieve the following training objectives for our doctoral researchers: Equip them with core scientific skills and specialised knowledge in designing experiments for demonstrating space
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their structure and electrochemical performance, and using this knowledge to engineer application-relevant devices? We are seeking for a curious, self-driven doctoral researcher to develop active, durable, and cost
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this knowledge to engineer application-relevant devices? We are seeking for a curious, self-driven doctoral researcher to develop active, durable, and cost-efficient thin film electrocatalysts based on earth
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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