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Portfolio Projects. We are an in-foundation startup, building upon a multi-year research and development program focused on a novel class of surgical materials. With a strong foundation in translational
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being developed in close collaboration with key national partners, including the State Secretariat for Migration (SEM), the State Secretariat for Economic Affairs (SECO), and a wide network of
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(SCI), lower back pain, neuro-degenerative disorders and neurological tumors. At the core of our research is the collaboration across disciplines spanning expertise in medicine, biology, computer and
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Professor towards Associate Professor in AI-oriented Computational Biologywith applications to Image Analysisor to Computational Molecular Evolution Starting date : 2025-26 Place : Lausanne, Switzerland
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, electrical engineering and computer science to design highly efficient and sensitive imaging and inference approaches to help guide diagnosis and treatment in cardiovascular patients. Project background Our
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, optimized for high-performance computing (HPC) environments. Classifying ice crystal habits using Convolutional Neural Networks (CNNs). Providing intuitive graphical interfaces for user interaction and data
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concepts as well as prehabilitation. Another goal is the establishment of a teaching and research center for rehabilitation with international impact. Additionally, digital tools and medical informatics
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inspiring spaces at ETH Zürich - surrounded by 3D printers, computers, whiteboards, ideation tools, custom-designed furniture, and plenty of plants. We currently have two locations: our main space near
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onboarding new startups to the ETH AI Center – from first contact through to official affiliation.Develop a strong local network to grow the affiliated startup community and strengthen entrepreneurial
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at international conferences and within collaborative networks Profile PhD in Computer Science, Bioinformatics, Biomedical Engineering, Applied Mathematics, or a related field Proven expertise in image analysis (e.g