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affected by hereditary cancer syndromes (HBOC, Lynch Syndrome). The next-generation FGT v3.0 will integrate large language models, multilingual AI, and confidential HPC to support patients and clinicians in
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integrate large language models, multilingual AI, and confidential HPC to support patients and clinicians in real-world healthcare environments. You will lead research on trustworthy and aligned LLMs
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You will have access to teaching assistants, research and travel funding, an international network of collaborators, and the wide variety of ETH career development resources The working language is
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interdisciplinary project applicants are expected to have excellent language skills in English Opportunity to work on a highly innovative project within a highly interdisciplinary environment Fixed contract (up
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, further knowledge of German (or another language spoken in Switzerland) is a plus. You should be interested to develop and strengthen your academic record as well as your industrial network. Our offer We
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iterative validation. The project combines the generalization capabilities of large language models with symbolic constraints and formal verification backends to ensure generated properties are auditable
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have previously worked on the modern history of East Central Europe. You must be fluent in English, our team's working language, and have good working knowledge of Czech, the main administrative language
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in socio-ecological research and combining qualitative and quantitative methods. You are fluent in at least one Swiss national language and English, both written and spoken, and have successfully
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-focused , contributing primarily to one of the following projects: Project A – Synthetic Data for Theory-Driven Behavioral Research This project investigates how large language models (LLMs) produce
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. We are assembling a team with diverse expertise and particularly encourage individuals with skill sets in at least two of the following areas to apply: demographic modeling, large language models