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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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ultrasound (https://doi.org/10.1109/TUFFC.2022.3148121 ). Optimal imaging inside and behind bone requires to take into account the 3D challenging wave physics imposed by bone tissue: wave refraction, wave
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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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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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, 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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on the physical and chemical boundary conditions prevailing in the soil, it is important to understand and predict how these conditions change in time. This requires a fusion of measurements and models. In
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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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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