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nanoparticles and reactions at the atomic-level by combining path-breaking advances in electron microscopy, microfabricated nanoreactors, nanoparticle synthesis and computational modelling. The radical new
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algorithms. Graph Neural Networks. The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another field
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for the integrated scholarship, you are (or are eligible to be) enrolled at the faculty’s master programme in Physics. Students on the integrated programme will enroll as PhD students simultaneously with completing
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processes (e.g., application content, assessments committees’ refiguration and process) and 2) the outcome of evaluation and selection for diverse participants. The research will leverage artificial
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collaboration, as part of the employment process at the University of Copenhagen. Notice: In the following description of the PhD programmes, some references are made to SCIENCE websites The PhD programme
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level equivalent to a two-year master's degree. The ideal candidate will have a background in photonics and condensed-matter physics. You should have a passion for theoretical and computational physics, a
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Aarhus BSS Graduate School, Aarhus University invites applicants for a PhD Scholarship in connection with King Frederik Center for Public Leadership at the PhD Programme in Political Science. The
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encompasses the creation of insights that allow the development of context-aware, distributed, and embedded cyber-physical systems, with a particular focus on Internet-of-Things (IoT) and the computing
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qualifications As our new colleague in our research team your job will be to develop novel computational frameworks for machine learning. In particular, you will push the boundaries of Scalability, drawing upon
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samples, by the development of advanced computational multiphysics models of stress corrosion cracking and coupling these with process-microstructure models (being developed within MicroAM project). Main