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The Department of Computer Science, Aarhus University invites applications for postdocs and PhD students. Supported by a generous ERC Advanced Grant and a Villum Investigator Grant from Villum
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and men. Project overview The project concerns applying supervisory control theory to security in a broad sense, both as off-line and on-line approaches. The work is collaborative in nature, bridging
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Worldwide R&D Projects. Previous experience in one or preferably more topics from these areas is considered a merit: - Multi-modal data processing for decision-making in natural environments - Terrain
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public engagement For further information about this position, please contact: Your profile PhD in History, Digital Humanities, Data Science, or a related field Demonstrated experience in interdisciplinary
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materials crystallography research in collaboration with other members of the Iversen group. The candidates must have a PhD in chemistry, crystallography, physics, materials science, nanoscience or similar
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have a PhD degree or must document equivalent qualifications in a relevant field related to natural language processing (NLP), literature, information science, media studies or a closely related domain
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how the interplay between organisms, hydrodynamics, sediment dynamics and chemistry shapes the estuarine and delta environment in the context of natural and human-induced environmental changes
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university, with its state-of-the-art campus and infrastructure, has woven a sound academic and research network, and its recruitment process is seeking high quality academics and professionals in order to
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | about 17 hours ago
Functional Wadden Sea Biodiversity Analysis (d/f/m) Background The Wadden Sea, a UNESCO World Heritage Site recognised for its remarkable natural value, has undergone a major reorganisation of its biodiversity
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highly interdisciplinary project Interest in the topics of one of the two projects Bonus: Experience working with social media data, mental health, social networks, natural language processing, experiment