122 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"LGEF" PhD positions in Denmark
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At the Technical Faculty of IT and Design, Department of Sustainability and Planning, a PhD stipend is available within the general study program Development and Planning. The stipend is open for
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If you are looking for an exciting opportunity for a PhD, we at Materials and Surface Engineering section, Department of Civil and Mechanical Engineering (DTU Construct), Technical University
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At the Faculty of Medicine, Department of Health Science and Technology one or more PhD stipends are vacant, within the doctoral programme Clinical Science, Laboratory and Translational Medicine
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qualification at the same level, in microbiology, microbial ecology, biotechnology, environmental biology, environmental engineering, or a related field. Experience with molecular microbiology techniques such as
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programme Materials Science, Mechanical and Manufacturing Engineering, is open for appointment from 01.04.2026 or soon thereafter. The position is available for a period of 3 years. Job description The PhD
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are looking for a highly motivated, dedicated and ambitious candidate with: A recent MSc degree - or similar - in biology or other relevant educations like engineering, preferably with a background in
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interactions and nanophotonics, as well as to theoretical physicists in the Department of Mathematics and Computer Science. We collaborate closely with scientists of the ALPS II collaboration and parts
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of various greenhouse gases. Finally, how to harness microbial microorganisms for sustainable technologies of the future with geo- and bio-engineering strategies. About SDU The University of Southern Denmark
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groups in light–matter interactions and nanophotonics, as well as to theoretical physicists in the Department of Mathematics and Computer Science. We collaborate closely with scientists of the ALPS II
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Job Description SDU Civil and Architectural Engineering (CAE) invites applications for a PhD position in Structural Engineering, with a focus on advancing probabilistic modelling techniques