108 programming-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" uni jobs at ETH Zurich in Switzerland
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An interest in empirical research addressing relevant economic and public-policy questions An interest in applied macroeconomics and/or political economy Experience with at least one statistical programming
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, the Research Program Support team, and the Geo-Intelligence team and external partners. You will define priorities, milestones and decision points, lead mission delivery and will have the authority to prioritize
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-year PhD position is funded by the NCCR CLIM+ program ( NCCR CLIM+ — Climate Extremes and Society ), financed by the Swiss National Science Foundation. NCCR CLIM+ supports Switzerland in
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, satellite communication (SATCOM), and electromagnetic sensing. Our research is funded by multiple EU, ESA, and Swiss programs and projects, and contributes directly to European digital sovereignty. Antennas
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attosecond pulses, tuneable 1-2 fs deep-ultraviolet and near-infrared pulses, and electron-ion coincidence detection in a reaction microscope. The scientific programme addresses chiral electronic wave packets
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technologies, with applications in 6G, satellite communication (SATCOM), and AI data-center connectivity. Our research is funded by multiple EU, ESA, and Swiss programs and projects, and contributes directly to
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work closely with Research Program Support teams (plus the external partners mentioned above). You will lead cross-functional and external experts and will have the authority to prioritize, redirect, and
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teams, its Research Program Support team, and the Geo-Intelligence team (plus the external partners mentioned above). You will lead cross-functional and external experts and will have the authority
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solvers, FDTD/FEM, coupled-mode theory, or PDE/ODE solvers) Interest in electromagnetic wave propagation, photonics, or semiconductor physics Experience with scientific programming and data analysis (Python
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student will contribute to a translational research program that aims to understand how daily stress and arousal states shape sleep physiology, recovery and health-relevant outcomes in real life