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programmes in the world. Fouchier has involved numerous young researchers in all his initiatives. He has supervised many PhD candidates and students: eight team members or former team members have started
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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, Aeronautical, Civil, Chemical Engineering, Applied Mathematics or Physics. Knowledge, skills: Fluid mechanics; desirable: wall-bounded shear flows, aerodynamics. Numerical analysis, in particular Computational
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About the Project We are inviting applications for a fully funded PhD position linked to an ERC Starting Grant project, Digital Welfare Borders: The Effects of Artificial Intelligence in Migrants’ Access to Welfare (DIGIWEB). The project examines how Artificial Intelligence (AI) is reshaping...
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unintended consequences. The project relies on longitudinal school network data and advanced quantitative and computational methods. WHAT YOU WILL DO Work with longitudinal classroom network and survey data
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There exists an inherent variability in how lithium-ion batteries fail – an event commonly referred to as “thermal runway”. This uncertainty drives additional cost and complexity into the design and validation methods employed for battery systems created for electric vehicles, aerospace or...
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Location: West Cambridge A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on compressor aerodynamics. You would develop key technologies and designs at the Whittle Laboratory to help enable the next generation of axial compressors required by...
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About the role We are looking for a Research Assistant to join our team working on next-generation solid-state hydrogen storage materials, contributing to an EPSRC-funded project that supports the UK’s net-zero and clean energy ambitions. The role sits at the interface of materials science,...
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. Various collaborations with MetaExplore network partners across Europe allow a particularly wide skills training, including experimental and computational work. Applicants should thus have a first (or upper
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necessarily require formal education in geotechnics. Applicants with a background in mechanical/materials engineering or alternatively mathematics/computer science with an interest in numerical modelling