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training, and you will, in addition, sharpen your didactics skills through experience as a teaching assistant. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic
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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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agreement. Duration: 2 years with possibility for extension. Principal supervisor is group leader, Prof Joachim Weischenfeldt, BRIC and Rigshospitalet, joachim.weischenfeldt@bric.ku.dk , Phone: +453545 6040
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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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– set up and alignment Numerical modelling Scientific software development Geochronology You should possess strong communication and academic writing skills in English. You must have a two-year master's
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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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, enhancing their expertise in NaTech risk and resilience and enabling their integration into European and international research and innovation landscapes. Responsibilities and qualifications Your primary
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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