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-being of society for a future worth living. Empa is a research institution of the ETH Domain. The Center for X-ray Analytics develops X-ray methodologies for understanding materials structure in materials
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of Competence in Research (NCCR) AntiResist . We develop and use state-of-the-art organoid technology to better understand human infections and foster antibiotic discovery. We conduct a wide range of assays
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Your position The project aims to develop novel anti-biofilm compounds that can be used to treat biofilm-related infections caused by a range of bacterial pathogens. Based on structural data
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Is the Job related to staff position within a Research Infrastructure? No Offer Description Doctoral Student in Development Economics The Development Economics Group (ETH-DEC) at ETH Zurich is offering
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Doctoral Candidate in computer vision and machine learning for developing novel deep learning method
Machine Learning (DM3L) Doctoral Candidate in computer vision and machine learning for developing novel deep learning methods for satellite-based tracking of global CO2 and NOX emissions of point sources 80
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sense of humor. Join us as: Change Management & Organizational Development Partner (80%) In this role, you will coordinate, manage, or even lead internal projects designed to strengthen collaboration across our
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. Empa is a research institution of the ETH Domain. The Center for X-ray Analytics develops X-ray methodologies for understanding materials structure in materials science. Our core activities is the
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The University of Basel, with over 13,000 students, 6 faculties, and more than 6,000 staff members across multiple departments, is a dynamic and complex organization. Change management is a core
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-house gelatin- and peptide-based formulations, which will be further refined through integration with advanced scaffold materials developed by partners (such as plasma-activated materials). These bioinks
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science. Further information about our research can be found on our website. Responsibilities You will develop and apply innovative genetic code expansion tools to achieve site-selective incorporation