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to the private sector and society at large is one of ETH Zurich’s primary concerns. The 80 new patent applications filed each year and the 300 spin-off companies that emerged from the institute between 1996 and
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established cell lines, primary patient samples, and patient‑derived xenograft models, is highly desirable. Candidates with a demonstrated ability to design, execute, and troubleshoot experiments in
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up to 90 degrees C. The main challenge will be to find a way to prevent forming/break aluminium oxide layer, to be able to expose pure aluminium to nitrogen and facilitate the ammonia synthesis
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to ensure purposeful, legally compliant, explainable and auditable AI behaviour. The research advances three main technical fronts: Embedding explicit norms into the BDI cycle, compiled into enforceable
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original theories, key technologies, and next-generation medical devices to advance minimally invasive/non-invasive medicine. We have made landmark achievements, including proposing foundational concepts
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knowledge of catalytic activation in main group chemistry and to contribute to the development of sustainable methodologies. We are seeking ambitious and creative individuals with a solid background in
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. Responsibilities and qualifications Guided by initial AI predictions from the Weinstein group and microbiology results from the Tolker-Nielsen Lab, your main responsibilities will be to design, synthesize and
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experience in developing cross-disciplinary collaborations and securing external funding. Have solid financial understanding and a professional command of English, and a willingness to quickly master Danish
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Experience: Ten (10) years relevant work experience is required Eight (8) years of relevant work experience is required with a Master's degree Five (5) years of relevant work experience is required with a PhD
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to spatial multi-omics to address this complexity, and find ways to reprogram the microenvironment for better responses to new immunotherapies. The lab's primary focus is combining single cell spatial