201 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" uni jobs at ETH Zurich
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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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, 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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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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, 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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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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, using data to inform its decisions, in order to shape the future of education at ETH Zurich. As a student assistant, you will contribute to embedding sustainability and ethics in teaching and learning
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of enrollment Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. Further information about the
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publications for this position highlighted Reference letters and/or contact details for three academic and/or professional references (You will be notified before they are contacted) Further information about
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of mathematics, computer science, and evolutionary biology. We develop methods to understand evolutionary, ecological, epidemiological, and developmental processes on different scales based on genetic data. In our
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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