40 coding-"https:" "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" positions at ETH Zurich in Switzerland
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the fundamental principles of nature to innovative technologies for society. The Institute of Theoretical Physics (https://itp.phys.ethz.ch/), D-PHYS, ETH Zurich is seeking to hire a Coordinator who will lead the
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drug delivery platform, published in Nature Communications (https://www.nature.com/articles/s41467-020-18059-7), that enables localized, hyper-efficient delivery of therapeutic compounds to specific
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) at the Singapore-ETH Centre (SEC) (https://fht.ethz.ch) developed and piloted innovative upper limb rehabilitation technologies and evaluated them in a clinical context, both in the hospital and at the home of post
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) at the Singapore-ETH Centre (SEC) (https://fht.ethz.ch)developed and piloted innovative upper limb rehabilitation technologies and evaluated them in a clinical context, both in the hospital and at the home of post
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, critical use of AI-assisted tools in research and code development, we treat these as part of the standard toolkit and expect them to be used with judgement Fortran is useful, as parts of our modelling
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coding workflows (e.g., Claude Code), are a clear advantage Track record of first-author publications Excellent written and spoken English; team-oriented mindset Workplace Workplace We offer A newly
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ethical issues and research requiring authorization or notification; template document provided. signed NOMIS code of conduct; template document provided. two external letters of reference
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infrastructure for these studies, including prompt design as a controlled manipulation, generative voice agent pipelines, conversation logging and transcription Extending and validating existing LLM based coding
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workflows Build and run RL environments for tasks with verifiable outcomes, such as mathematics, code, tool-use, and reasoning Implement and run reward modelling, reward calibration, and verifier-based
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considered Strong Python and software engineering skills, including experience with open-source contribution workflows (pull requests, code review, CI) Experience with LLM inference stacks such as Hugging Face