161 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "Dr" uni jobs in Switzerland
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quantitative skills and comfort with coding, and good analytical thinking You are committed to working in an interdisciplinary team blending climate modelling, geochemical process models, and new geochemical
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community Contribute to R data publication packages washr and fairenough Profile You care about data and code being concise and easily reusable You know how to use standard data science tools (Git, GitHub, R
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development, validation, and safe integration of locally hosted LLMs for automated coding of pediatric diagnoses from electronic health records (EHRs), with the goal of enhancing research capabilities and
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(e.g., qualitative coding, statistics, simulation, ML) Publish results in peer-reviewed venues (conferences/journals) and contribute to paper writing Support lab operations as needed (maintaining
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seamlessly into code Contribute to brand identity: logo development, visual guidelines, style systems Profile Degree in Interaction Design, Visual Communication, Graphic Design, or related field Background as
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environments that help learners develop deeper conceptual understanding and problem-solving skills. Topics may include multimodal representations of code, intelligent feedback mechanisms, and the cognitive
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, ICML, ICLR) Proven ability to conduct independent, high-quality research Proven ability to write well-documented code in Python Strong motivation to work in a collaborative team environment and to
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Infrastructure-as-code tools (e.g. Terraform/openTofu) Automation tools and framework, including CI/CD processes and ecosystem (e.g., Gitlab CI, HashiCorp Vault) Experience with the following is preferred, though
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increasingly Artificial Intelligence approaches, we are now focused on making these innovations broadly available to the scientific community and beyond. We aim to bridge the gap between academic code and real
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, highlighting those most relevant to the project's research direction Portfolio – Overview with project summaries and links to external sources (e.g. websites, code repositories, datasets, and other supporting