20 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"Dip"-"Dip" uni jobs in Switzerland
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of predicting electronic, structural, and thermal quantities while leveraging underlying symmetries for computational efficiency. There will be a significant computational component in deploying multi-GPU codes
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) Unsupervised machine learning and deep learning methods Analysis, visualization, and interpretation of learned design spaces Contributing to research outputs (prototypes, publications, open-source code) Profile
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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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disseminated through open-source code and scientific publications. Start: As soon as possible (applications reviewed on a rolling basis) Duration: 6 months (extendable) Job description Apply computational and
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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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related field Solid background in physical optics, experience in interferometry and/or cryogenic optics is an asset Extensive experience with optical design and simulation tools (e.g. Zemax, Code V, FRED
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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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encouraged) A bioinformatics or coding portfolio, such as: A GitHub profile showcasing pipelines, analyses, or tools Published or preprint manuscripts, technical reports, or other examples of computational
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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