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Vacancies PhD position on the design and fabrication of MEMS drag force-based flow and fluid composition sensors Key takeaways In this project, we will combine well-known thermal flow sensing
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experiment at the LHC. The project will be conducted in close collaboration with Dr Flavia de Almeida Dias and a postdoctoral researcher in experimental particle physics. Your appointment will be for four
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experiment at the LHC. The project will be conducted in close collaboration with Dr Flavia de Almeida Dias and a postdoctoral researcher in experimental particle physics. Your appointment will be for four
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. You already have good background knowledge on atmospheric composition and greenhouse gas cycles and experience with isotope measurements. Next to this you find yourself in one or multiple
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-2031) advances knowledge on potential impacts of OWFs on ocean currents, suspended sediments, microscopic plankton, various life stages of fishes, seabed composition, seafloor organisms, marine mammals
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described in the project overview. Owing to the current composition of the project team, there will be a mild preference for candidates opting for project 2 on “Models and machine learning”. An explanation
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for the new green steels compositions, including impurities and tramp elements. These models should enable density-functional-theory (DFT) accurate large scale atomistic simulations of defects including
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such as calculating sample compositions, precise mixing using pipettes/scales, and handling instruments and equipment. You have a quantitative mindset with the ability to analyse data, make predictions, and
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and group activities. Collaboration with other PhD candidates, postdoctoral researchers and other faculty member will be encouraged. At the end of the PhD program the candidate will be an expert in
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. The department hosts a highly international tenured staff of over 50 scientists and more than 110 PhD students and postdoctoral researchers. We house or have access to a wide variety of world-class laboratories