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PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
PhD project will combine state-of-the-art experimental testing, high-speed diagnostics, and advanced numerical simulations to investigate the response of composite armour subjected to high-velocity
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. The research may involve a combination of commercial process simulation tools and in-house model development for individual unit operations and integrated systems. Hybrid modeling approaches combining first
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independent, empowering, and accessible mobility for everyone. Are you excited about combining cognitive science, AI, immersive technology, and societal impact? We would love to hear from you. Job requirements
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major events, accidents and extreme weather. In a new project called deepTraffic (funded by the Dutch science foundation NWO), we aim to develop a new generation of traffic prediction methods, combining
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focus on combining simulations using spatial-genetic-demographic individual based models (e.g., using the software SLiM), machine learning approaches, and genomic data to estimate larval dispersal
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independent, empowering, and accessible mobility for everyone. Are you excited about combining cognitive science, AI, immersive technology, and societal impact? We would love to hear from you. Job requirements
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will be placed on the performance of filters protecting moraine (glacial till) cores against internal erosion. The research will combine studies of existing embankment dams in Norway with extensive
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. The research may involve a combination of commercial process simulation tools and in-house model development for individual unit operations and integrated systems. Hybrid modeling approaches combining first
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probabilistic and deterministic reliability criteria with market operation in a single security-constrained optimal power flow model, and combining optimal power flow analysis with reliability analysis methods
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support. The PhD candidate will develop and validate a hybrid methodology that combines established stochastic optimization with AI-based learning. The aim is not only to develop new algorithms, but also to