233 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Technical University of Denmark
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, or according to mutual agreement. The working location will be DTU Construct, Lyngby Campus. You can read more about career paths at DTU here . Further information Further information may be obtained from Senior
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multi-disciplinary team and will be responsible for data collection and handling in relation to human health impact assessments and participate in all phases of an intervention study among Danish school
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data We are looking for a candidate with a structured working style and the ability to multitask with attention to detail. You must have a positive mindset and willingness to take on both routine and
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students where appropriate. Supporting the project’s innovation, impact, and commercialisation pathways under the CREWW framework. About you The successful applicant will be able to present information
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, high-throughput screening, and state-of-the-art carbohydrate analysis, to validate computational designs and generate data that advances our knowledge of enzymatic carbohydrate synthesis towards
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requirements using pilot-scale or simulation data Publish high-impact research results and present findings at international conferences Contribute to proposal writing and joint projects with academic and
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certificates. If you would like additional information about the position, please contact Head of Section Charlotte Scheutz, chas@dtu.dk . More information about the department can be found
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Criminology, BA Sociology & Criminology, BSc Crime and Data Science) and will launch a new MSc in Criminology and Criminal Justice in September 2026. The successful candidate will have a creative and ambitious
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materials, utilizing hyperspectral imaging data as input. We want to enable real-time prediction and assessment of the materials’ physicochemical behaviour and performance characteristics. This position is
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of BRIGTH and ensures effective development and implementation of strain design procedures in our design-build-test-learn workflow using big data and data science. The Analytics team is part of