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initial cycling, which affects safety, longevity, and overall performance. The “RePatina” project will reconstruct and engineer the SEI layer using a combination of operando diagnostics, surface chemistry
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machine-learning surrogate models capable of delivering near-DFT (density functional theory) accuracy in just a few CPU seconds per structure. This approach will enable the high-throughput screening of tens
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Competitive athletes of various standards are continually striving to enhance exercise performance outcomes. A common approach to enhance exercise performance and post-exercise recovery is the
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to carry out individual project work in a European country other than their own. The training network “SPACER” is made up of 21 partners, coordinated by Fraunhofer ICT in Germany. The network will recruit a
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Do you want to contribute to the future sustainable use of forests? Apply to join the WIFORCE Research School at the University of Agricultural Sciences (SLU) in Sweden! The recruited PhD students
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? The Villum Investigator group will (eventually) consist of three postdocs, three PhD students and will be part of the section for Theoretical High Energy Physics, Astroparticle and Gravitational Physics
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . JOB DESCRIPTION AND POSITION
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PhD Studentship: Artificial Intelligence for Building Performance – Optimising Low-Pressure Airtightness Testing Supervisors: Dr Christopher Wood (Faculty of Engineering) and Dr Grazziela Figueredo
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physics. Scientific description Diamond is a remarkable material for various technological applications. Its compact and regular crystalline structure enables its use in diverse fields such as particle
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for the new green steels compositions, including impurities and tramp elements. These models should enable density-functional-theory (DFT) accurate large scale atomistic simulations of defects including