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100%, Zurich, fixed-term A doctoral student is sought from summer/autumn 2025 for a research project at the Institute of Environmental Engineering (IFU), Chair Earth Observation at the ETH Zürich on Snow and ice parameter estimation using high frequency multi-modal SAR. Job description The...
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Infrastructure? No Offer Description PhD Student Position in UAV-Based Synthetic Aperture Radar Remote Sensing The SAR Remote Sensing Technology Group at the Chair of Earth Observation and Remote Sensing, Dept
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. Project background Position starting from May 2025 or upon agreement. Job description The research focuses on probing biomolecular interactions with plasmonic sensing. Surface plasmon resonance (SPR) and
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the virtual to the real world by multi-parameter sensing and creating digital twins that can live together with their real-world counterparts. Knowledge of heat stress is essential for the health and
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balloon system and assisting with UAV/floating balloon operations. Analyzing in situ data (holographic imagers) and ground-based remote-sensing data (cloud radar) to derive ice crystal growth rates via
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particles, AgI-containing particles). Analyzing in situ data (holographic imagers) and ground-based remote-sensing data (cloud radar) to assess warm cloud susceptibility to aerosol perturbations. Quantifying
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or spatial tools (GIS analyses) will be an advantage, but it is not a prerequisite. A good command of English is important, while knowledge of French and/or German can be favorable. The project involves
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related field, and will have experience with one or more of the following: agent-based simulations, system dynamics, mathematical modelling, probability theory, risk assessment, R, python and GIS. Good
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or modeling. If you've dabbled in GIS, that's a bonus! Willingness to Learn: You're excited to deepen your knowledge in areas such as forest economics, forest management, economic theory, spatial analysis
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of the Chair of Photogrammetry and Remote Sensing (PRS), focuses on developing hybrid, data-driven yet informed, visual perceptual intelligence for conformity and better generalization, enabling embodied AI