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laboratory testing to study the microstructure and the monotonic and cyclic mechanical behavior of the volcanic basalt sand. Subsequently, results of model-scale centrifuge tests and advanced numerical
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specifically and contributing to related open-source codebases 2. Constructing and disseminating CRN datasets from the prior literature and from atomistic simulations to be used in training, testing, and
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twins, semantic modeling, secure data exchange, and reconfigurable production architectures. The research will also be carried out in LTU’s AIC³ Lab, an advanced test environment for future industrial
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numerical optimization and simulation models. Proficiency in one of the major programming languages such as Python A collaborative team player with a desire to make a personal impact within our
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simulations. Job Description Are you passionate about bridging computational modeling with clinical cardiology to solve real-world healthcare challenges? We're seeking a PhD candidate to develop innovative
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datasets using programming languages such as R, SAS, Stata and Python A strong quantitative background in mathematical and simulation modelling, especially Markov-chain, common decision-analytic model
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trapping of lithium to form pegmatite ore bodies. The project will utilise high-pressure high-temperature experimental equipment hosted by the UU Earth Simulation Laboratory, and the world-leading analytical
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intelligent, adaptive, and sustainable industrial systems. The work involves topics such as AI-assisted automation engineering, digital twins, semantic modeling, secure data exchange, and reconfigurable
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. Empa is a research institution of the ETH Domain. Empa's Laboratory of Biomimetic Membranes and Textiles is a pioneer in physics-based modeling at multiple scales. We bridge the virtual to the real world
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using 3D MHD numerical simulations with the ARMS code. For the first time, such a model will self-consistently generate induced jets in a realistic magnetic topological configuration, including polar