70 Computer-Science-"https:"-"https:"-"https:"-"https:" PhD positions at Delft University of Technology (TU Delft)
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should have the following qualifications: A strong Master's degree in Physics or Applied Physics, Photonics, Nanotechnology, Engineering or a related field. Knowledge of nanooptics, photonic crystals
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solutions that help move the world forward. Faculty of Electrical Engineering, Mathematics and Computer Science The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together
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mechanical damage due to missile impact. What can be done to minimize the risk of thermal runaway? This includes factors like the battery chemistry, the containment and the cooling of the battery. In case a
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-information science. The faculty works closely with other faculties, universities, private parties, and the public sector, and has an extensive network in the Netherlands as well as internationally. Click here to go
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electrolyzer performance and degradation mechanisms. This work will be supported by advanced characterization tools that are available within the HyCARB program that funds this position. In addition, multiscale
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control of anaerobic microbiomes. Job requirements Msc in life sciences, biotechnology, microbial ecology, or microbiology with a strong affinity for laboratory experiments and computational procedures
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-based chemistry, including reverse water-gas shift (CO2 + H2 <-> CO + H2O), leading to technology transition moving away from conventional fossil-fuel heated refining processes to the refinery
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(up to few months). To be considered, you will have: An MSc in Mechanical Engineering, Aerospace Engineering or a closely related field. Strong foundations in thermodynamics , fluid mechanics and heat
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Develop new imaging technology with ultrafast extreme ultraviolet light sources Job description Microscopy with extreme ultraviolet (EUV) radiation is a powerful approach for materials science and
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. The research interests and expertise include advanced modelling and design optimization methods for machines development. We use both experimental testing approaches and computational modelling and closely