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sectors. To this aim, water electrolysis is the key technology enabling the conversion of (green) electricity into hydrogen. However, this pivotal process still suffers from low conversion efficiencies. One
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Challenge: Solve computational bottlenecks in the modelling of mechanics of metallic systems. Change: Develop new physics-informed machine learning algorithms and predictive models. Impact: Enable
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physics or in a physics related discipline. In particular, we want the candidate to have expertise in a branch of optical imaging, and development of experimental setups in, in combination with a skill set
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complex fiber networks in the brain and other biological tissues. The position is in the group of Dr. Miriam Menzel, at the Department of Imaging Physics. The group works on scattered light microscopy
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Science & Technology, Nanoscience, Chemical Engineering, Radiation Science & Technology, and Engineering Physics. We are also training the next generation of high school teachers and science communicators
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to deposit catalytic materials as well as for forming protective layers on catalysts. The PhD project is carried out at the Chemical Engineering department of TU Delft, in the Product & Process Engineering
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physical understanding of the interaction between laminar-turbulent transition and surface modifications such as the Delft Laminar Hump.The fundamental and technical outcomes of this work will position Hump
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(www.apictudelft.com) and is a top expert in analog and mixed-signal circuit design, while Dr. Rao specializes in pixel physics and has multiple EU projects on image sensors running in parallel (http
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the application button. We will contact shortlisted candidates for a two-stage interview process which will start early September, and we expect a decision shortly thereafter. The starting date will be flexible
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, computer science, physics, mathematics or other related fields. Knowledge and interest in radar signal processing, preferably but not necessarily on classification techniques and distributed radar systems