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career as a principal investigator. Possess a strong track record of innovation in computer vision, AI, and/or causal inference, with a passion for applying these to human model systems. Exhibit
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. Candidates must have a PhD degree in theoretical physics, an outstanding academic record, a compelling vision, demonstrated impact, and a strong commitment to excellence in teaching at undergraduate and
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institution fostering excellence and diversity. It has a highly international campus with world-class infrastructure, including high performance computing. The EPFL environment is multi-lingual and multi
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this vision into a comprehensive, measurable strategic plan. Program & Project Management: Orchestrate the implementation phases (foundations & traction, integration & consolidation, scaling & multiplication
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to automatically process user manuals or process videos and extract relevant information. Further research will focus on advanced computer vision algorithms for defect detection. The research projects are usually
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detection, contributing to the long-term goal of Vision Zero (eliminating traffic-related fatalities and severe injuries). Job description The work will contribute to the broader field of digital health
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efficiency, particularly with respect to latency. Project background The successful candidate will join the BMIC team at ETH Zurich and also be a part of the Computer Vision Lab (CVL). The project is conducted
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utilises cutting-edge recording techniques, including two-photon calcium imaging, high-density Neuropixels electrophysiology, and spatial transcriptomics, alongside computational analyses, to uncover novel
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As a Senior Data Scientist working in the Research team of the Swiss Data Science Center, you will use your expertise in machine learning, statistical data science, computer vision, natural
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successful candidate will have the following responsibilities that are aligned with working towards the project’s vision: synthesize and effectively communicate the system development process relevant for SBB