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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
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Responsibilities Theory Quantum transport modeling using NEGF; first-principles materials and interface calculations using DFT (VASP, Quantum ESPRESSO, or equivalent). Atomistic spin dynamics
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six in the UK for overall profile in REF 2021 (with 95% of publications rated as 4* and 3*), this dynamic Department is an excellent place to work.The strategic vision for the Department includes a
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of the primary objectives of the ITC is to integrate conceptual theory with computational modeling. We are, therefore, interested in candidates working in any field related to theoretical and/or numerical
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). Experience with conducting human-subjects experiments, especially involving neuroscience, biomechanics, human-computer interaction, or brain-machine interfaces. Experience with dynamic modeling, including
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candidate will work on theoretical aspects of quantum magnonics, nonlinear quantum dynamics, spintronic quantum sensing, dissipative quantum systems, and quantum transport. The project is conducted in
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complementary microscopy techniques, and developing nanoprobe-based sensing methods. A central goal is to understand nanoparticle behaviour and interactions in complex environments and to establish new approaches
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tectonics and field-based research is advantageous. Experience in teaching, student supervision and research-proposal development is also welcome. We offer: An exciting position in a dynamic, international
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 22 hours ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0350-NPP-NOV26-GSFC-Heliophys How to Apply All applications must be submitted in Zintellect Please visit the NASA
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institution, with demonstrated expertise relevant to structural dynamics, sensing, signal processing, or data-driven analysis of physical systems. • Strong programming skills in Python, including experience