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motivated individual to develop Python tools for analyzing data from our holographic cloud particle imagers. Our research group studies the crucial role of clouds and aerosols in the climate system, aiming
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facilitate effective data management, analysis, and visualization for researchers. By acting as an interface between the two domains Research and Informatics, R-IT helps ensure seamless communication and
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of condensed matter systems, spin qubits, magnetism, spintronics, spin-related phenomena in semiconducting materials, quantum many-body physics, and quantum information and computing, are welcomed to apply
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of condensed matter systems, spin qubits, magnetism, spintronics, spin-related phenomena in semiconducting materials, quantum many-body physics, and quantum information and computing, are welcomed to apply
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precision and minimal interruptions throughout a life cycle. Incorporating predictive models and advanced control using data opens up exciting new possibilities in this domain. The research activities
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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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channels: presentations at international conferences and workshops and publications in leading academic journals in economics. Project background We have fully vectorized data of a large number of musical
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, and tree physiology. Willingness to travel and undertake extended fieldwork for data collection. Driving license. Experience in ecological data analysis and statistical programming (R or Python
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your online application with the following documents: CV Brief statement of motivation Names and contact information for 3 references Applications will be reviewed on a rolling basis until the position
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applications for a project associate position starting between July 2025 and August 2025. Project background Path2Work is a data-driven, scalable job search platform developed by researchers at ETH Zurich and