96 parallel-processing-bioinformatics PhD positions at Delft University of Technology (TU Delft)
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slurries, improve our understanding of blood flow, and support the development of sustainable manufacturing processes. This PhD position is part of the ERC Advanced Grant project IDeS and you will join a
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and acquire those skills and able to deploy them during the course of the project. She or he has a demonstrable interest in optics and electromagnetic scattering, signal processing, and mathematics, as
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, targets the conversion of intermittent electricity to platform chemicals and fuels making use of dynamically operated processes. This is a promising route to alleviate net congestion and make more effective
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, research and education at the ME faculty focusses on fundamental understanding, design, production including application and product improvement, materials, processes and (mechanical) systems. ME is a
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including application and product improvement, materials, processes and (mechanical) systems. ME is a dynamic and innovative faculty with high-tech lab facilities and international reach. It’s a large faculty
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of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after
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. Additional information For more information about this vacancy, you can contact Dr Jaco Quist ([email protected] ). Application procedure Are you interested in this vacancy? Please apply no later than 30
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between hydraulic processes and structural response represents a major knowledge gap. In this PhD project, you will focus on impact dynamics on structures, establishing direct links between unsteady
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will inform (1) the design of landers for future missions, and (2) the scientific interpretation of future mission data, by linking measured surface properties to processes such as resurfacing and
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trace element distributions at high spatial resolution. The resulting data will be integrated into thermodynamic models (e.g. FACTSage-based approaches) to support process optimisation and control in