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collaborations with numerous internationally leading universities and research organizations. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a
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. During the project, you are expected to supervise Bachelor and Master students, work in tandem with colleagues and coordinate with collaboration partners, therefore we expect a high degree of project
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Job Description You will join a supportive and dynamic research team working at the intersection of machine learning and operations research. Your main task will be to design and implement ML
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of Buildings . Responsibilities and qualifications The project's primary objective is to enhance the energy flexibility of buildings by employing advanced data-driven energy management techniques. A few
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working with “DTU Smart Road,” a full-scale pavement research platform at DTU’s main campus that hosts embedded strain and temperature sensors. Experiments will also involve the development and installation
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. Responsibilities and qualifications Your primary responsibilities and tasks include (but not limited to): Development of full- and reduced-order nonlinear finite element models of offshore structures with emphasis
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market frameworks and business models for fair value distribution will be analysed. Responsibilities and qualifications Your primary research tasks will include: Develop and simulate coordinated control
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-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. Approval and Enrolment The scholarship for the PhD degree is subject to
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-based evidence essential for guiding national policy and shaping future regulatory frameworks in this rapidly evolving area. Your primary tasks will be to: Design and develop bio-based and biodegradable
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a team of 25 colleagues dealing with CCUS, and industrial partners in Denmark as well as abroad. Your primary tasks will be to: Apply AI in context of capture solvent modelling Understand and analyse