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future is a thorough understanding and assessment of the thermo-physical properties (e.g melting temperature, heat capacity, density, viscosity, thermal conductivity) of the molten fuel salt during reactor
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Challenge: Generating realistic bathymetric maps at a large scale using satellite images and advanced machine learning methods. Change: Incorporating physics into satellite-derived bathymetry
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bioprocesses still have. This effort includes quantifying the impact of various process routes as well as creating micro-organisms (or consortia thereof) that can deal with new feed stocks or produce more
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Fascinated by clouds? Motivated by tackling complexity in the climate system? Enthusiastic about physics? – Consider joining the MesoClou team! We invite you to apply for a PhD position on utilizing
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, Petekidis & Garbin, Soft Matter 18, 2092 (2022)]. In this PhD project, you will investigate the physical phenomena underlying this new mechanism and explore its potential for controlled structuring of model
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with companies in this area. We are looking for a candidate with a strong background in physics or in a physics related discipline. In particular, we want the candidate to have expertise in a branch of
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to the development of integral process concepts for CA products based on mammalian cell culture. Key focus points: Gene editing for the engineering of new or improved phenotypes into a variety of mammalian cell lines
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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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the state of the art, one can rely on physics prior and latest AI techniques to accelerate ULM imaging in 3 dimensions. In this PhD project you will be embedded in a multidisciplinary collaboration
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the Department of Imaging Physics (www.imphys.tudelft.nl ) of the Faculty of Applied Sciences. This department performs cuttingedge research spanning the range from understanding the basic principles underlying