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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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the ETH Zurich employee benefits program chevron_right Working, teaching and research at ETH Zurich We value diversity In line with our values , ETH Zurich encourages an inclusive culture. We promote
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at ETH Zurich and associated with the ETH AI Center. We are an interdisciplinary group at the intersection of chemistry and computer science. Our mission is to accelerate chemical discovery using digital
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on the following activities: Writing scripts for the automated collection and cleaning of data, and organizing it into a database Computing simple statistics Preparing graphical representations Testing surveys
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on Human Factors in Computing Systems, Lancet Digital Health, npj Digital Medicine). You will also be involved in teaching activities.
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afterwards. You will work closely with our research team to implement a new version of our RAG-based chatbot. Profile The ideal candidate will be a computer or data science student, or a student with extensive
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Emulators of Stochastic computational models"), funded by the Swiss National Science Foundation (SNSF). The project aims to significantly advance the state-of-the-art in uncertainty quantification (UQ) by
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Required experience: CH/EU/EFTA citizenship or a valid work permit for Switzerland A Master’s degree (ETH, university) in engineering, computer science, or a related field Strong academic performance meeting
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of computational and statistical genomics, and bioinformatics. Cattle are an interesting «model organism» to study inherited genetic variation and the molecular-genetic underpinnings of complex traits and dieseases
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, for preclinical testing of engineered circuits where relevant; collaborating closely with molecular biologists, computational modelers, and clinical and preclinical research partners; documenting results clearly