205 data-"https:"-"https:"-"https:"-"https:"-"https:"-"University-of-Minho" positions at ETH Zurich in Switzerland
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We look forward to receiving your online application including a: CV publication list statement of research interests and the names and contact information of at least two references. Please note
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, especially with an interest in AI and judicial processes Computer Science or Data Science, especially with practical programming experience Currently enrolled as a student at a Swiss university We are also
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, including data management and the maintenance of computational infrastructure and software. Project background The position is part of the Institute of Microbiology at ETH Zurich and closely linked
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for the physically informed processing and joint analysis of time-series data. The successful candidate will conduct observational programmes with the SPECULOOS facility and actively participate in the scientific
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, setting the standard through execution while building scalable processes, CRM systems, and reporting infrastructure for data-driven decision-making. Align internal stakeholders across ETH, SNAI, and partner
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with seismic or fibre-optic sensing data is an asset Ability to work independently and lead research tasks within a collaborative environment Excellent communication skills in English Workplace Workplace
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strategies. Job description Investigate pressure, deformation, and seismicity data from hydraulic stimulation experiments to derive conceptual models of post-shut-in processes Develop hydromechanical models
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, the project integrates country-wide data analysis, water quality monitoring of spring networks and detailed mechanistic insights into subsurface flow routing and transit times. The project is closely aligned
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100%, Basel, permanent Would you like to not only manage research data, but also actively shape the future of research data management (RDM)? Do you think strategically, act with technical expertise
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range of topics related to imaging with geophysical data. Our research focuses on mathematical methods for processing, imaging, and inversion of geophysical data, the physics of wave propagation, and the