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spectroscopy (important). Experience with building UHV systems. Experience or a desire to learn about quantum device fabrication. Experience in modeling with 3D CAD like autodesk inventor. A strong grasp of
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considered. The research will involve data collection, model building and analysis of potential benefits of improved logistics practices and transition to low-emission vehicles. The successful candidate will
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involving millions of individuals. Emerging methods using population-scale microdata now allow us to construct large-scale models of social opportunity structures, offering a promising new avenue for
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26th May 2025 Languages English English English The Department of Structural Engineering has a vacancy for a PhD Candidate in Multiscale modelling of grain boundary failure in high-strength
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: Danish and English. You are expected to be fluent in at least one of these languages, and in time are expected to master both. As formal qualification you must hold a PhD degree (or equivalent) in
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the position; has proven experience in working with geographic data and quantitative methods (ideally in the health context); is a team player who can conduct academic research at the highest level; is fluent in
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). Responsibilities and qualifications As part of the DECIDE project you will be working on developing next generation of tools for decision making under uncertainty. You must: Have experience in AI models (e.g
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(preferably) in biomedical sciences or in a related field. The candidate has experience with rodent models, knowledge of neuroscience and is fluent in English (speech and writing). WHAT WE CAN OFFER YOU We
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privacy-preserved fashion. Research topics include, but not limited to, i) handling distributed DL models with data heterogeneity including non i.i.d, and domain shifts, ii) developing explainability and
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Job description We are looking for two highly creative and motivated PhD students to perform research in the context of the Advanced ERC Grant ACME ("Assumption-lean (Causal) Modeling and Estimation