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of Prof. Georg Madsen, with regular shorter research stays at Aarhus University. The project combines density functional theory (DFT), machine-learned force fields and atomistic simulations to uncover how
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to recruit a talented researcher for a 2-year, full-time postdoc in machine learning from 1 October or soon thereafter. Your work tasks We are looking to recruit an excellent postdoctoral fellow to apply
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. An interdisciplinary interdisciplinary environment, in which the candidate will be able to exchange across research fields (machine learning, bioinformatics, biology, and quantitative genetics) and applications (plant
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, Security, Cryptography, or a related field) and a relevant MSc degree (e.g., Computer Science, Software Engineering, Machine Learning, Artificial Intelligence, Computational Linguistics, or a related field
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with its grounding in cognitive theory. The position suits candidates with a PhD in Human-Computer Interaction or a related field who enjoy making empirical, methodological, and technical contributions
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to think independently, in human-AI interaction. You will connect the project's technical work with its grounding in cognitive theory. The position suits candidates with a PhD in Human-Computer Interaction
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at the interface between mechanics and machine learning? We are looking for a postdoctoral researcher for a fixed term, full time position at the Department of Materials and Production on Aalborg campus, starting 1
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for quantifying methane emissions. A special focus will be on exploring how our local drone data can be combined with satellite observations, using machine learning and other modelling approaches, to improve
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Postdoc in Digital Education and Empowerment for Patients with Atrial Fibrillation and Comorbidities
professional development. At HST, our values – Share. Care. Dare. – shape the way we collaborate, support one another and create knowledge with societal impact. Learn more about the department on our website
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the development and demonstration of a “fast decision machine” that can provide a qualified basis for early decisions concerning future aseptic production. You will plan and carry out your research systematically