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researchers across ETH accelerate their research with frontier AI. You will partner with research labs to understand their scientific challenges and co-develop agentic solutions: multi-step pipelines that plan
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code Developing agentic AI workflows for specification autoformalization, proof generation, and proof repair Build a strong network in the fields of formal verification, systems, and ML infrastructure
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design for different examples (e.g. subsidies for multi-species cropping, mixed-provenance restoration, or age-structured fishery management). The goal is to identify barriers, leverage points, and
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research is built around three intertwined questions: how to measure and understand behavior with AI, how brains and embodied agents learn to control the body, and how the brain builds a sense of its body
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outputs. A major focus of the position is the development of AI-based reasoning strategies for oncology, including tool-augmented inference, multi-agent or compound model workflows, process supervision
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. Project background Digital Einstein is our flagship interactive AI avatar, bringing Albert Einstein to life as a conversational agent. It is part of a broader family of AI avatars developed in our group
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100%, Zurich, fixed-term The Swiss Data Science Center (SDSC) is a national research infrastructure in data science and artificial intelligence (AI) within the ETH domain, with EPFL and ETH Zurich