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100%, Zurich, fixed-term The Sensing, Interaction & Perception Lab is looking for a PhD student in Human-Computer Interaction. The project will focus on input detection from sensor signals (e.g
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» to study inherited genetic variation and the molecular-genetic underpinnings of complex traits and dieseases. Whole-genome sequencing and dense phenotyping data are availble for tens of thousands
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. The GRACE mission has transformed the way we can monitor surface mass changes in the Earth system. By applying machine learning methods to terrestrial water storage anomalies derived from GRACE data, we aim
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identification of glacier crevasses and their dynamics over time through high-resolution SAR data. For the first topic, the methodology is already well established; however, there is potential to extend
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, brings in their motivation and creativity, can clearly communicate, enjoys working closely and respectfully within a team and has basic experience in laboratories and in data analysis. Prior experience in
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independent and collaborative research, including literature reviews, data collection and analysis, leading to novel contributions to the field. You will be responsible for writing and publishing academic
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, textual, and temporal data for management applications. Recently awarded several major grants, our center is at the forefront of bridging sophisticated AI research with practical business applications. The
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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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for decentralized and distributed data-driven methods for Federated Learning on resource-constrained networks. Your research within the project will contribute towards your doctoral degree at ETH Zurich. You will be