516 programming-"the"-"DAAD"-"IMPRS-ML"-"U"-"UCL"-"FEMTO-ST"-"St" positions in Denmark
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Genetic Improvement of Dairy Cow Longevity, Using Large-Scale Body Weight Data from an AI-Camera ...
Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Quantitative Genetics and Genomics programme. The position is
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solid understanding of energy system technologies and economics is also required. Additionally, experience with other programming languages, open-source software development, project management using
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an operational capacity. Your role will be to further this development by contributing with a strong background in computer vision, machine learning, quantitative analysis and programming. You will collaborate
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collaborative hub, we bring together students, researchers, and external partners across disciplines to co-create solutions with lasting societal value. Through our vibrant community and targeted programs, we
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you a researcher focused on thermal
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. The Department of Chemistry at Aarhus University (www.chem.au.dk) is one of the leading European chemistry departments with a broad research program. It has a permanent staff of ~35 full and associate professors
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focus areas could include, yet are not limited to, improvement of diagnostics, adherence to antibiotic guidelines, infection control with focus on hygiene and screening programs, promotion of cost
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University’s campus in Herning, where we have launched Denmark’s first online degree programme in electrical energy technology. Place of work The place of work is at Finlandsgade 22, 8200 Aarhus N, Denmark
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passionate for research and for pushing the scientific frontiers. Excellent programming skills. Good collaboration skills. Fluent in English, spoken as well as written. As a formal qualification, you must hold
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-translation and AI-driven data analyses. We value on-campus collaboration: plan for at least three days per week at the department; short research stays elsewhere can be agreed when useful for the project. Your