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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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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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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
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flow, including circuit design, simulation, layout, PCB design, and measurement of integrated circuits using advanced CAD tools. Excellent communication skills and proficiency in both written and spoken
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to either first-principles calculations or AI supported database management of high-throughput type calculations/simulations. Basic knowledge of density functional theory (DFT) is beneficial. Strong
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experimental approaches, with theoretical activities focusing on: Quantum mechanical calculations using density functional theory. Mean-field modeling and Monte Carlo simulations for reaction kinetics