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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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, 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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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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in railway operations. A key challenge lies in the variability and lack of precise train dynamics data, particularly for freight trains with varying lengths, weights, and wagon conditions, often
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of the required reference letters implies exclusion from the RE-Fibre recruitment procedure. For more information, please contact us through the Contact form on the RE-Fibre website. Data of the applicants will be
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letters implies exclusion from the RE-Fibre recruitment procedure. For more information, please contact us through the Contact form on the RE-Fibre website. Data of the applicants will be shared within
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, including the following documents: letter of interest including your ideas of possible work. a curriculum vitae (with list of publications and contact information of at least two referees). grades of all
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glaciers and their potential evolution under future climate scenarios, this project will 1) collect data on rock glacier erosion, 2) develop a model to study how debris-flow activity, and 3) apply this model
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include low energy-consuming electric-field-controllable non-volatile memory elements with high information density. The recent progress in controlling the electrostatic and elastic boundary conditions in