834 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions in Denmark
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Education and Center for Protein Design. Further information on the Department can be found at: https://drug.ku.dk/ We welcome applications from ambitious and talented early-career researchers seeking
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positions available in the areas listed here: https://math.au.dk/en/about/vacancies/postdoc/ When applying, you will be asked to indicate, which of the areas listed on the page above are of interest to you
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Job Description DTU Skylab is looking for an Operations and Data Coordinator to strengthen our data‑driven setup, drive key processes in the Annual Management Cycle and play a central role in our
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Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteAalborg UniversitetCountryDenmarkCityAalborgGeofield Contact City Aalborg Website https://www.vacancies.aau.dk
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Job Description We are looking for a skilled and experienced Data Engineer with interest in working with dietary survey data and building data infrastructure. The Research Group for Nutrition
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with a total of 18 PhD stipends. The AI:HealthData Lab is part of the AI:X initiative with two PhD stipends and is a collaboration between the Data Engineering, Science, and Systems (DESS) research group
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at the Copenhagen campus and one at the Aalborg campus. The themes cover key research areas of the department. Stipend no. 3: Data-driven methods for design and operation of human-centric energy-optimized indoor
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campus and one at the Aalborg campus. The themes cover key research areas of the department. Stipend: Synthetic Relighting of Real-World Environments via Generative AI and Computer Graphics Pipelines
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The Centre for Computational Thinking and Design at the Department of Digital Design and Information Studies within the School of Communication and Culture at Aarhus University invites applications
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Join us at the Department of Electrical and Computer Engineering at Aarhus University for a postdoctoral position focused on deep learning based analysis of remote sensing data for groundwater