29 parallel-and-distributed-computing-"Meta"-"Meta" positions at University of Twente in Netherlands
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analysis, and high-performance simulations? We offer a challenging PhD position in the Mathematics of Computational Science group to design and analyse novel structure-preserving methods for stochastic
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, in collaboration with the NanoElectronics (NE) group at the University of Twente and the Infomatter group at AMOLF. The SMIP project aims at revolutionising computing by developing adaptive, smart
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problems and wave propagation from nano to kilometre scales. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer
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Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description
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mathematician. You are expected to attract national or European research grants to support your research line. You will be involved in the teaching program of the Department of Applied Mathematics (DAMUT
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models aligned with EU Packaging and Packaging Waste Regulation (PPWR) targets. Your role Work primarily at FIP-AM@UT, applying advanced computational and experimental techniques in a high-tech industrial
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++ programme “Break-through technologies in flow and fluid composition measurement”. It involves close cooperation with flow sensor companies and the TU Delft, where a post-doc will focus on the electronic
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Key takeaways To bring computing power to the edge and to make the cloud sustainable, various paradigms for energy-efficient computing are emerging. These paradigms, for example neuromorphic, wave
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Vacancies Academic staff Support staff UT Student Jobs UT as employer UT as employer Employment conditions Career and development Pre and onboarding Tenure Track PhD EngD Working as a UT student Stories from UT employees Job alert About UT Campus Research institutes Strategy and culture Twente...
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background in mathematical derivation and implementation of numerical methods for multiscale field problems. In addition, experience with high performant computing languages is desired, while knowledge