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The main goal of the research is to quantify the impact of hydrate formation on injectivity of CO2 injection well and to develop chemical-based solutions to either inhibit the formation of hydrates
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We are looking for a motivated and independent PhD candidate to develop highly efficient and robust surrogate models of a multi-scale cardiovascular ‘digital twin’ modelling platform. A
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Research) Networks department combine forces in the prestigious Future Network Services (FNS) flagship project to develop innovative solutions enabling joint communications and sensing (JCAS) in 6G networks
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security analysis of JCAS systems, emphasizing novel attack vectors leveraging network sensing capabilities, develop efficient security measures to counter adversarial attacks, and assess these mechanisms
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between theory, simulations, and experiments towards understanding and controlling fluid flows. In our team, we strive for a co-creative and stimulating environment where we can develop our skills as a
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Python) for automated parametrization of models and simulations, as well as for performing optimization, data analytics, and experimental validaton. An affinity with teaching and guiding students. Ability
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carbon source, and to develop technologies that can convert CO2 into valuable compounds such as carbon monoxide, ethylene and ethanol. Within the e-Refinery Institute at TU Delft, we’re working
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to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the Graduate Schools Admission
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Challenge: Realize the potential of quantum technologies Change: Develop quantum sensors using levitated systems Impact: Improve mechanical sensors and deepen our understanding of gravity Quantum
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stresses such as drought and extreme temperatures, supporting plant breeding industry to develop crops that can withstand combinations of stresses brought by a changing climate. The project is part of