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the Section for Aquaculture, located at our campus in Hirtshals in the beautiful Northern part of Denmark. The section is a vibrant international group that holds a strong expertise in the different aspects
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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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diversity. We are looking for a motivated applicant with good competences in operation research who wants to gain hands-on experience in cutting-edge energy modeling and analysis to be part of the Ports as
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minimal carbon footprint, the use of locally sourced materials, and construction without binders, thereby ensuring full material reusability. Specifically, the candidate’s tasks will include: Advancing
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the supervision of Prof. Massimo De Vittorio. You will be a part of the IDUN Center of Excellence, led by Prof. Anja Boisen at DTU Department of Health Technology (DTU Health Tech). IDUN is a highly cross
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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
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resilience-centered approach, REUNATECH supports the European Green Deal, Sendai Frame-work, and UN Sustainable Development Goals. DCs will benefit from an immersive training structure comprising cross
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and operation of building HVAC systems, these technologies support both energy efficiency and flexible demand objectives. Model predictive control (MPC), which involves physics-based building energy