254 data-"https:" "https:" "https:" "https:" "https:" "Simons Foundation" Postdoctoral positions in Denmark
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fishing activities, major shipping routes, and offshore development locations. The EU Oceans Pact highlight the need to assess and manage dumped munitions. Two EU-funded projects, MUNI-RISK ( https://muni
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Applications are invited for a postdoctoral position in the group of Dr Aleksandr Gavrin ( https://mbg.au.dk/a-gavrin/ ) at the Department of Molecular Biology and Genetics, Aarhus University
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information processing, quantum optics, or related fields. Strong experimental skills and solid theoretical understanding of quantum information. Experience in continuous variable quantum information processing
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. The project is situated with the Creator Economies Lab, and the working language of the project is English, although data collection will also include Japanese and Spanish. The postdoc will lead a sub-project
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to support decision-making by integrating physical models and sensor data. These methods are validated through industrial case studies, with a particular emphasis on critical infrastructures where complexity
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to comment on their assessment. Online interviews with selected candidates are expected during week 2 - January 5-9, 2026. For information about the recruitment process, visit: https://employment.ku.dk/faculty
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to Professor and FORM Director Fabrizio Montesi (fmontesi@imada.sdu.dk ) for more information. Hosting environment FORM is embedded in the Section of Artificial Intelligence, Cybersecurity, and Programming
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of Sensory & Consumer Science studies, qualitative and quantitative data collection and -analysis as well as manuscript writing is requested. The candidate is expected to undertake data collection
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of Sensory & Consumer Science studies, qualitative and quantitative data collection and -analysis as well as manuscript writing is requested. The candidate is expected to undertake data collection
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, bioinformatics, aging biology, epidimological data and AI-driven systems modeling. The successful candidate will develop and apply computational and machine learning approaches to decode the molecular and