193 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at ETH Zurich in Switzerland

  • ETH Zurich | Switzerland | about 21 hours ago

    who share our guiding principles: Curiosity: You enjoy learning, exploring new ideas, and understanding problems deeply. Openness: You listen, collaborate, and are receptive to different perspectives

  • ETH Zurich | Switzerland | about 1 month ago

    the power of both classical and quantum computing resources? How can we exploit or take inspiration from quantum physics to develop cutting-edge machine learning? Your work will encompass a diverse array of

  • ETH Zurich | Switzerland | about 21 hours ago

    incorporating machine learning. 2. Transcriptome Recording and Cellular History Reconstruction We are advancing our CRISPR-based transcriptional recording method (Schmidt, Nature, 2018; Tanna, Nature Protocols

  • ETH Zurich | Switzerland | about 20 hours ago

    knowledge and technology from research to Swiss machine, electrical and metal industries. The research group Laser Material Processing at inspire offers in collaboration with the Advanced Manufacturing

  • ETH Zurich | Switzerland | about 1 month ago

    Master’s degree in Computer Science, AI, Machine Learning, Mathematics, Electrical Engineering, or a closely related field; or Master’s degree in Medicine (MD) with strong Python skills and some ML

  • ETH Zurich | Switzerland | about 20 hours ago

    ) or equivalent in civil, mechanical or electrical engineering, geosciences, physics, applied mathematics, computer sciences or related fields, and be at the beginning of their research career. Principal

  • ETH Zurich | Switzerland | about 20 hours ago

    methods. Contributing to the development, adaptation, and application of machinelearning models tailored to RODI data (in collaboration with project partners). Designing and implementing an innovative

  • ETH Zurich | Switzerland | 2 months ago

    upcoming areas off the beaten paths. Our three main areas of research are machine learning, distributed systems, and theory of networks. Within these three areas, we are currently working on several projects

  • ETH Zurich | Switzerland | about 20 hours ago

    contributes to positive change in society You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive

  • ETH Zurich | Switzerland | about 20 hours ago

    with the Sinergia project partners You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare  and attractive

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