193 power-engineering-"https:"-"https:"-"https:"-"https:" PhD positions in Netherlands
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- Delft University of Technology (TU Delft)
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initiative and ability to setup, organise and execute your research. TU Delft (Delft University of Technology) Working at TU Delft means contributing to solutions that really make a difference. For over 180
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should have the following qualifications: A strong Master's degree in Physics or Applied Physics, Photonics, Nanotechnology, Engineering or a related field. Knowledge of nanooptics, photonic crystals
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explore new opportunities in semiconductor quantum technology and work to push the boundaries of quantum control in semiconductor qubits. The Veldhorst group is a dynamic group studying timely topics. Near
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communication infrastructures capable of supporting future global connectivity. You will join the Embedded Systems group within TU Delft’s Faculty of Electrical Engineering, Mathematics and Computer
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Are you interested in developing next-generation modelling tools for sustainable food production? Do you enjoy working at the interface of engineering, environmental sciences, and systems analysis
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, Electrical Engineering, or a closely related field. Strong background in quantum science and solid-state physics. Independence and self-drive, with the ability to identify interesting questions and interpret
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The ability to work at the interface of science and clinical practice Good social and organisational skills, preferably with experience in (coordinating) data collection A teamplayer mentality and enthusiasm
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and profile: an MSc degree in the Natural Sciences (e.g. Earth Science, Biology, Ecology, Physics) or Engineering; experience with modelling, quantitative data analysis and programming; strong
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for new and improved metrology solutions to meet these challenges. Digital holography (DH) is a technology that can provide single shot full wavefield imaging of flat single layered structures. However, its
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partners from academia, the financial sector, engineering consultancies and government. The central aim of FIRM is to estimate flood and water nuisance risk information as realistically as possible and to