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Communication sciences Information science Engineering » Communication engineering Engineering » Electronic engineering Mathematics » Applied mathematics Mathematics » Probability theory Mathematics » Algorithms
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located at AU Campus Viborg (https://dca.au.dk/en/about-dca/au-foulum). Who we are The Department of Biological and Chemical Engineering (BCE) has strong research sections in Biotechnology, Environmental
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Processing & Technology. Where to apply Website https://candidate.hr-manager.net/ApplicationForm/ApplicationRedirection.aspx Requirements Research FieldChemistryEducation LevelPhD or equivalent Research
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international research network and good industrial and professional collaboration. Please refer to Department of Animal and Veterinary Sciences (au.dk) for further information about the department: https
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LanguagesENGLISHLevelExcellent Research FieldTechnology » Telecommunications technology Additional Information Website for additional job details https://www.linkedin.com/jobs/view/4453059784/ Work Location(s) Number of offers
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aligned with the Science Team ‘Food Quality Perception and Society’ (FQS) at the Department of Food Science http://food.au.dk/en/foodresearch/science-teams/food-quality-perception-society/. The Science Team
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The Department of Biological and Chemical Engineering, Aarhus University, invites applicants for a 24-month position within the field of Carbon Capture and Utilization focused on the microbial
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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
8 Sep 2026 Job Information Organisation/Company Technical University Of Denmark Department DTU Construct Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions PhD
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8 Sep 2026 Job Information Organisation/Company University of Copenhagen Department Department of Food Science Research Field Engineering Biological sciences Agricultural sciences Chemistry
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Background in machine learning or deep learning methods, including Graph Neural Network (GNN) Experience with Large Language Models (LLMs) applied to biological data collection, extraction, and standardization