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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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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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online. We will not process applications sent by email and/or post. Please do not contact us for unsolicited services.
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-employment screening can be part of the selection procedure. You can apply online. We will not process applications sent by email and/or post. Please do not contact us for unsolicited services.