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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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cardiovascular digital twin is a physics-based computer simulation that models an individual's health and disease states to aid decision-making. These high-fidelity models are often computationally expensive
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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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physical elements, operated and controlled via management systems and procedures. These management systems and procedures are becoming increasingly automated. Moreover, critical infrastructures become
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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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computer science, mathematics, physics, or a related discipline. Demonstrate eagerness to tackle complex mathematical challenges. Have proficiency in both written and spoken English. Knowledge of machine
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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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the Process & Energy Department of the Faculty of Mechanical, Materials, and Maritime Engineering (3ME). The effort will be highly integrated, framed within the TU Delft Climate Action Program, and in