52 bayesian-object-tracking positions at ETH Zurich

  • ETH Zurich | Switzerland | about 19 hours ago

    multiphase fluid phenomena, such as bubble and droplet dynamics and the resulting fast flows. One of our key objectives is to control bubble oscillations to exploit their energy-focusing characteristics in

  • ETH Zurich | Switzerland | about 19 hours ago

    We look forward to receiving your application with the following documents as a single PDF: A cover letter indicating which track you are applying for (RL/Optimization, LLM/Knowledge or both) CV

  • ETH Zurich | Switzerland | about 19 hours ago

    department (hr@inspire.ch ), including the following material: A short statement of research interests and objectives A CV including past research work and projects 2-3 reference letters/contacts One

  • ETH Zurich | Switzerland | about 19 hours ago

    track. We then develop and evaluate a robust cannabis-driving detection model before and while driving. Ultimately, we are working towards a scalable digital biomarker platform for in-vehicle driver state

  • ETH Zurich | Switzerland | 3 months ago

    solutions and planning recommendations. You are: A highly self-motivated and independent researcher with a proven track record in developing urban design strategies and policy-oriented recommendations

  • ETH Zurich | Switzerland | about 19 hours ago

    , minutes, communication, documentation, cost tracking). In order to fulfil these tasks, it is essential to closely collaborate with all the project partners within ETH Library and at the other Swiss HEIs

  • ETH Zurich | Switzerland | about 19 hours ago

    to changing conditions over the coming decades (e.g., when and where to expand rail, road, or cycling infrastructure, or add new transport services). Job description This doctorate aims to advance

  • ETH Zurich | Switzerland | about 19 hours ago

    the fight against climate change. Policymakers need new tools to help balance the transition’s big-picture objectives with the systems’ impacts on people and communities. This project will contribute new

  • ETH Zurich | Switzerland | about 19 hours ago

    to shape the direction of the project after the initial objectives are met. The project is funded through an ETH grant and will be supervised by Dr. Juliana Laszakovits in the group of Prof. Kristopher

  • ETH Zurich | Switzerland | about 19 hours ago

    mechanisms underlying bacterial infections and the emergence of antimicrobial resistance, and (2) evaluate novel treatment strategies. A key objective is to optimize the platform for translational applications

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