208 computer-programmer-"https:"-"U"-"UCL"-"https:"-"https:"-"https:"-"https:"-"Inserm" positions in Switzerland
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for the renewable energy sector via the M2A European Training Network (ETN), funded by the European Commission’s Horizon 2020 Marie Skłodowska-Curie programme. Project background M2A puts forward a robust methodology
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of the work requires a very high level of experimental skills. You need to program the hybrid printer and possibly modify the device to be able achieve more freedom in printing and milling of the 3D printed SiC
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will have the opportunity to visit industry and other academic institutions within the consortium. After completing the programme, you will have a thorough understanding of the process from research
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of Medical Microbiology at the University of Zurich, the Department of Informatics at ETHZ and several further partners, we address the challenge by the combining microfluidic technology, sequencing and fast
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at the University of Zurich, the Department of Informatics at ETHZ and several further partners, we address the challenge by the combining microfluidic technology, sequencing and fast data analysis. In
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to work at the interface of quantum optics, quantum information science and quantum many-body physics. Led by Prof. Wenchao Xu , the EQE group develops programmable quantum systems based on neutral atoms
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(including current transcript if enrolled in an MSc programme) Contact information for 2-3 referees Please note that we exclusively accept applications submitted through our online application portal
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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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2026, with a 100% workload, based in Zurich, and is fixed-term for three and a half years. Working across sociocultural, political-economic, and theoretical contexts, the LUS Doctoral Program fosters
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-facturing processes. In this internship, you will work on state-of-the-art anomaly detection methods using computer vision and time-series data, with a particular focus on multimodal data fusion for powder