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when necessary. You work in a structured manner and are outgoing and flexible during periods of high activity. In addition, you will participate in international knowledge dissemination, for example
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of ocean waves and hydrodynamic modelling, with particular focus on marine renewables, offshore wind and coastal structures. The research is primarily carried out through externally funded collaborative
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teaching in such educations is a requirement. The successful candidate will be part of the Neurorehabilitation Engineering and Robotics research group: https://vbn.aau.dk/da/organisations/neurorehabilitation
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public sector partners. The PhD programme is structured according to the Danish PhD framework and includes coursework, dissemination activities, and teaching or knowledge dissemination duties corresponding
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quantitative methods (e.g., regression, multilevel modeling, structural equation modeling) is an advantage. Interest and/or experience with experimental, big data, and/or mixed methods research designs. Strong
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is part of the MET2ADAPT Doctoral Network (Meta-Materials and Meta-Structures for Adaptable, Resilient and Sustainable Renewable Energy Power Plants), a prestigious Marie Skłodowska-Curie Doctoral
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for Applied Marine Ecology and Modelling (for more information see: https://ecos.au.dk/en/researchconsultancy/research-areas/applied-marine-ecology-and-modelling ). The department is, and wishes to continue to
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Systems: https://www.cs.aau.dk/research/distributed-embedded-intelligent-systems/ The Department of Computer Science features a broad range of synergistic activities within research and education in
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contribute to cutting-edge research and engineering. Key responsibilities Establish and maintain a design software layer for semiconductor qubits. Fabricate multi-layer structures for quantum dot spin qubit
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for Applied Marine Ecology and Modelling (for more information see: https://ecos.au.dk/en/researchconsultancy/research-areas/applied-marine-ecology-and-modelling ). The department is, and wishes to continue to