189 data "https:" "https:" "https:" "https:" "UCL" positions at ETH Zurich

  • ETH Zurich | Switzerland | about 3 hours ago

    deployment by enabling quick data collection, calibration, and policy training while ensuring safety and efficiency. For this, we develop novel learning-based control and policy optimization techniques. We're

  • ETH Zurich | Switzerland | about 3 hours ago

    -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

  • ETH Zurich | Switzerland | about 3 hours ago

    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

  • ETH Zurich | Switzerland | about 3 hours ago

    , neuroscientists, computer scientists, clinicians, and data scientists across the Singapore-ETH Centre (SEC), the National University of Singapore (NUS), and Nanyang Technological University (NTU), the PhD student

  • ETH Zurich | Switzerland | about 3 hours ago

    you. The Research Analytics Service group, hosted by the section Research Support Services and Acquisitions, is hiring a Senior Data Scientist. The position is to be filled on 1 June 2026. Job

  • ETH Zurich | Switzerland | about 3 hours ago

    information about ETH Zurich can be found on our website . Questions regarding the position should be directed to Dr. Florian Lienhard email: lflorian@ethz.ch (no applications). Please note that we exclusively

  • ETH Zurich | Switzerland | about 3 hours ago

    portal. The deadline for applications is the 3rd of April, 2026, with a start date of Summer-Autumn 2026. Further information about our groups can be found on the Planetology and High Pressure Group

  • ETH Zurich | Switzerland | about 3 hours ago

    lab / external, we are seeking a post-doctoral researcher to join our team. In the project, we will be analyzing ride-sharing, shared e-scooter and shared bicycle behaviour. We will analyse the data

  • ETH Zurich | Switzerland | 4 days ago

    compromise grid reliability and energy security. We proceed in two steps. First, we use AI-based document analysis and engineering data to construct detailed bills of materials (BOMs) for selected critical

  • ETH Zurich | Switzerland | about 3 hours ago

    data, spanning from whole-genome variant calling and decision support to single-cell sequencing analysis. We develop and extend robust analysis workflows and reusable components, in close collaboration

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