49 fully-funded-phd-program-computer-science-eth Postdoctoral positions at Technical University of Denmark
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of technology and its interaction with industry and individuals. The department offers a wide range of courses and programs at bachelor, master, and PhD levels across DTU's study programs. The department has 200
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of combinatorial thin-film libraries. The lab is located in Denmark’s national facility for semiconductor fabrication, with very high safety standards. You will be part of the LightTrap project, funded by the Novo
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an exciting opportunity to contribute to a cutting-edge instrument during its commissioning and early science phases. You will work with Prof. Lars A. Buchhave (2ES PI) and the rapidly growing
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qualifications You hold a PhD in physics, chemistry, chemical engineering, materials science, or a related discipline, and you have experience with catalysis in the context of sustainable energy solutions. You
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collaboratively, communicate results clearly in English, and contribute actively to team development. As a formal qualification, you must hold a PhD degree (or equivalent) in Photovoltaics or a related field. We
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of public-health professionals and PhD-students. The day-to-day work will be performed in close collaboration with other researchers in the Risk-benefit Research Group and within the project consortium
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become attractive for commercial partners Develop research applications of Doppler wind lidars Supervise MSc student projects and co-supervise PhD students Apply for funding within remote sensing for wind
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must hold a PhD degree (or equivalent) in the life sciences, for example, in biochemistry, biomedicine, biotechnology, or a related discipline. Candidates nearing completion of their PhD are also
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focus on educating engineering students at all levels, ranging from BSc, MSc, PhD to lifelong learning students. We have about 300 dedicated employees. Read more about us at www.energy.dtu.dk
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in glaciology, Geodesy, Earth sciences, remote sensing, or a related field. Strong skills in data analysis, programming, and handling large geospatial datasets are essential. Experience with satellite