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by DTU, in collaboration with KTH Royal Institute of Technology, Sweden. The project, From Detection to Action: AI-supported Decision Systems for Disaster Preparedness , bridges early risk detection
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can be found by reaching the REUNATECH’s Management Team at mailto:reunatech@rwth-aachen.de . You can read more about the Department of Civil and Mechanical Engineering at https://construct.dtu.dk
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Job Description Are you passionate about artificial intelligence, bioinformatics, food safety, and creating real-world impact through cutting-edge technology for improving food safety? Do you want
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Mechanical Engineering Department. Co-supervision of BSc and MSc projects that are complementary of this PhD project. As the job descriptions cannot be exhaustive, the Researcher may be required to undertake
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Job Description Are you passionate about understanding the composition of the footwear we use, while exploring more circular options for design for recycling? At the Technical University of Denmark
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consumers. You'll gain deep interdisciplinary experience—combining multiple data layers and approaches including bioinformatics, machine learning, food safety management, regulatory science, genomics and user
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tasks will be to: Genetic engineering of bacteria. Phenotypic characterisation of engineered strains. Teach and supervise BSc and MSc student projects. You must have a two-year master's degree (120 ECTS
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DTU Management’s Management Science division. The project is led by Professors Stefan Ropke and Richard Lusby and involves international collaboration with leading researchers in machine learning and
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development and marine management. Your primary tasks will be to: Compile and harmonize data from multiple sources (e.g., EMODnet, Copernicus, fisheries surveys, citizen science). Engage with data managers and