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field. You bring a strong analytical background and are proficient in areas like geometric deep learning, signal processing, statistics, or learning theory. Knowledge of energy systems, multi-energy
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23 Jan 2026 Job Information Organisation/Company ETH Zürich Research Field Computer science » Computer architecture Computer science » Programming Computer science » Other Engineering » Biomedical
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of electronic devices has a long and successful history of accompanying experimental developments, be it for transistors or memory cells. Nowadays, to be of practical relevance, such technology computer aided
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transfer, developing and employing computer simulations, laboratory experiments, and field analyses. Our aim is to gain fundamental insights and develop sustainable technologies to address societal needs
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together to develop solutions for the global challenges of today and tomorrow. Where to apply Website https://academicpositions.com/ad/eth-zurich/2026/doctoral-position-in-the-profe… Requirements Research
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https://academicpositions.com/ad/eth-zurich/2026/post-doctoral-position-in-the-… Requirements Research FieldHistoryYears of Research Experience4 - 10 Research FieldPhilosophyYears of Research Experience4
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of Prof. Tomasz Smoleński at the Department of Physics, University of Basel, Switzerland (https://smolenski-lab.com ), is looking for a highly-motivated and self-driven PhD candidate. The group utilizes
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, we collect data through biological monitoring, environmental DNA methods, remote sensing, and field sampling, and use these data to answer questions with statistical and process-based models
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Oncology and Hematology of the University Hospital Zurich. The successful candidate possesses solid knowledge of computer-based methods for image analysis and the analysis of multi-omics data in the context
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the shortlisting process The review of applications will begin on 23 February until the position is filled. Further information about the Planetary Geochemistry group can be found here . Questions regarding