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Job Description Are you eager to engineer the next generation of cancer therapies? Apply for a fully funded 3-year PhD position at the Technical University of Denmark (DTU), where you will work in
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of digital chemical production? Then join DTU Chemical Engineering’s digitalization initiative and be part of building the next generation of smart, semantically linked research infrastructure. The job Over
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challenges. This PhD project aims to advance the efficient, controllable, and optimized use of renewable energy by integration of advanced TES technologies (latent heat and thermochemical storage) in
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work at the intersection of palaeogenomics, bioinformatics, and evolutionary biology to overcome long-standing barriers in analysing degraded or low-quality DNA, enabling reliable genomic inference
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Job Description Do you want to do research on cutting-edge machine learning methods? If you are establishing a career as a researcher in machine learning, and you are motivated to work with the
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position to work at the intersection of transportation science, operations research, and transport economics. The PhD position is part of a strategic collaboration between the Technical University of Denmark
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will be open for appointment as of 1st of January 2026. The PhD Fellow will be a part of the project Musikalske Alliancer. In addition to Aalborg University, the project is carried out in collaboration
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, or (field) experiments), as well as familiarity with the literature on digital transformation and business models, will be assessed positively. In addition, you should be able to work efficiently as part of a
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bridge between KTH’s expertise in early disaster risk detection (e.g., ignition risk mapping for wildfires) and DTU’s strength in AI-supported decision-making for safety-critical systems. Your work will
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pavements that are subjected to moving, accelerating, braking, and turning wheel loads. The work will be carried out as part of the LOOPER project, supported by the Danish Energy Agency. The LOOPER project