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with the Control and Automation group at inspire AG. The project is part of a large group effort involving ETH, inspire AG, and ZHAW and brings in multiple engineers and PhD students to continuously
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web platform for traumatic SCI recovery. Collaborate with clinical experts to gather and define requirements, ensuring the platform aligns with the needs of both patients and healthcare professionals
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the framework of a large National Competence Center of Research (NCCR) “Antiresist” (for more information, view ) involving clinicians, academic and industrial research partners across multiple disciplines, a
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interested in current political and societal discussions Be able to work independently, manage multiple tasks and deadlines Be a team player with strong communication skills Have experience with coding (e.g
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technologies promise to revolutionize multiple branches of science by solving problems that cannot be tackled by classical systems. While efficient and large-scale quantum computers are still far from being
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to new potential partners, service providers, and collaborators who can bring direct value to affiliated startups. Actively scout and screen entrepreneurial talent, ensuring alignment with our community’s
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. This position is part of a collaborative project funded by the Swiss National Science Foundation, which supports multiple researchers, at ETH Zurich and at partner universities, and focuses on the development
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for effectively engaging with researchers, educators, and administrative stakeholders You are a proactive and independent worker with the ability to organize and prioritize multiple tasks You show genuine interest
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, continuous integration). Adapt software for parallel computing, optimization workflows, and high-performance computing environments. Contribute to software deployment, testing, and benchmarking across multiple
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management and teaching curriculum. Profile PhD in life sciences, preferably cell biology, microbiology, genetics or similar. Track record of hands-on experience with multiple types of state-of-the-art flow