95 programming-"https:"-"https:"-"https:"-"https:"-"IDAEA-CSIC" positions at ETH Zurich in Switzerland
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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
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questions related to the resilience of global supply chains to climate change. The doctorate will be conducted within the doctoral program of D-MTEC (Department of Management, Technology, and Economics) and
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multifunctionalities in the optical path. The first part of this project will center around developing light-stimulated stiffness programming methods that surpass the performance of current variable stiffness benchmarks
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Possess a solid knowledge of and strong interest in economics and economic policy issues Have excellent quantitative and programming skills: strong knowledge of time series econometrics, forecasting methods