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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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performance of the rotors are informative for Project 3 and Project 4. PhD project 2: Experimental research of scaled rotor sail flow under static conditions This project is a physical twin to Project 1
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biological phosphorus removal. Change: Evaluate bioreactor operations using cutting-edge omics techniques Impact: Improve phosphorus removal and recovery in wastewater treatment processes The PhD project aims
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wave physics: Metamaterials. These are engineered composite structures, invoking dispersive wave phenomena to gain exotic properties that go beyond what is considered possible in Nature. A key property
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Mathematics, Physics, or a closely related field. Because of project definitions, we are looking for EU citizens. Doing a PhD at TU Delft requires English proficiency at a certain level to ensure
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into account adequately in models. Therefore, we will work with traditional parameterizations for cloud microphysics, but also explore how physics-enhanced machine learning can help us to develop new ways
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process spreads over an underlying network topology or contact graph, that is generally changing over time. Standard models used so far are mostly based on Markovian processes and mean-field approximations
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infrastructure individually, but also across critical infrastructures, data sharing and smart city platforms. NExTWORKx announces the hiring of 4 PhD students who will be mentored by both TUDelft and KPN staff