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activities: · Understanding/simulating the diffusion paths and cavitation in thermoplastic liners. · Multi-physics simulation of the diffusion process in thermoplastic orthotropic composites
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, numerical simulators with coupled physics (flow/reactive/geo-mechanics/thermal) have been developed and often applied to predict the long-term fate of the injected carbon dioxide to ensure its secure
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headed by famous theorist Daniel Loss Qualifications: PhD in Physics (completed within the last 5 years or near completion); strong background in theoretical condensed matter physics; experience with
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research partners. Support the supervision of PhD and MSc students.
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are especially interested in candidates with a PhD in Materials Science, Chemistry, Physics, Chemical Engineering, or a related field, and with a solid experimental background in organic semiconductors, polymer
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areas will be considered when selecting candidates: Machine Learning, Neural Networks, Numerical solutions of Partial Differential Equations and Stochastic Differential Equations, Numerical Optimization
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characterization with multiscale simulation to understand failure mechanisms and improve safety at the cell, module, and pack levels. The successful candidate will contribute to research on lithium-ion and next
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Applicants must have a PhD in Computer Engineering, Computer Science, or Electrical and Computer Engineering, and have published their research in prestigious conferences and journals in related
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-performance SWIR and exploratory room-temperature MWIR detection. Candidates should hold a PhD in chemistry, materials science, electrical engineering, applied physics, or a related field, with expertise in
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manipulation for high-performance SWIR and exploratory room-temperature MWIR detection. Candidates should hold a PhD in chemistry, materials science, electrical engineering, applied physics, or a related field