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research in the areas of condensed matter physics, nanotechnology, photonics, and theoretical and computational physics. We announce a PhD position for a project focusing on simulation and artificial
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research in the areas of condensed matter physics, nanotechnology, photonics, and theoretical and computational physics. We announce a PhD position for a project focusing on simulation and artificial
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invites applications for a highly motivated PhD student to join our pioneering research in quantum simulations with trapped Rydberg ions. The aim of the PhD project is to develop a quantum simulator for
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invites applications for a highly motivated PhD student to join our pioneering research in quantum simulations with trapped Rydberg ions. The aim of the PhD project is to develop a 2D ion trap experiment
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Breast cancer screening by digital mammography (DM) saves lives by early detection! It is still limited by missed cancers and false positives. To address limitations, we have developed a prototype DBTMI
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at cell membranes; Apply machine-learning models trained on simulation data to study how lipid composition and genetic variation influence the conformational and phase properties of membrane-associated
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by missed cancers and false positives. To address limitations, we have developed a prototype DBTMI system. DBTMI stands for "simultaneous digital breast tomosynthesis (DBT) and "mechanical imaging" (MI
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control and reinforcement learning supported by an edge-cloud-based wireless communication environment. The doctoral student will work on data-driven theory and method development in simulation environments
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and simulations as well as techno-economic assessments for the distribution of hydrogen in ports and its intermediate storage, considering spatial constraints, safety requirements, and varying demand
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simulations of hydrogen bunkering and transfer systems on board ships. Analysis of temperature development, mass and energy balances, and flow/pressure variations during fueling and operation. Material testing