140 structural-engineering-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dip" positions at Nature Careers in Denmark
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to transform the entire structure and functioning of Arctic coastal marine ecosystems. CIFAR is a research center that aims to unravel how the complex interplay between ice melt, runoff and ice formation across
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project’s principal investigator, Associate Professor Lars Rohwedder, an internationally recognized expert in the areas of approximation algorithms and parameterized algorithms, see https://larsrohwedder.com
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are encouraged to apply, but we especially encourage specialists in the fields of hydrogeology and/or petrology/structural geology. Expectations The appointee will develop their own independent research profile
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call. This programme is open to early-career researchers from all disciplines, including Humanities, Social Sciences, Natural Sciences, Health Sciences, and Engineering. Based at the University
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and manipulating the electronic structures of solid-state materials, to tackle the significant and diverse challenges facing society as we transition away from technologies reliant on fossil-fuels
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and experimentally demonstrate the potential of advanced optical materials for nanoscale photonics. Your role will involve using a variety of experimental techniques, including fabrication, structural
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career. Information on CGEN and its individual groups can be found at: https://cgen.ku.dk/ and on ICMM at: https://icmm.ku.dk/english/ . Project description The project will be decided in consultation
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assistants. Our vision is to unlock the combined potential of humans and artificial intelligence (AI) for the rapid and reliable construction of digital systems, guided by rigorous mathematical foundations
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Assistant Professor in Cognitive psychology, Clinical psychology, or Health psychology ved Instit...
cohort). SDU’s Odense Campus brings together all health sciences in a new building opened in 2023, directly connected to the university hospital currently under construction—offering an excellent setting
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, circuit discovery, activation patching, and representation engineering, with a focus on compositional structure in learned representations, as well as testing universality across models and languages