28 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"EPFL" positions in Switzerland
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, protein purification, and/or machine learning is a clear plus. • Experience in data analysis and coding (preferably Python) • A systematic, independent working style and ability to work in a collaborative
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with the statistical grounding to reason about the models you use ● A GitHub account with code you have written ● Fluent English Desirable: ● Experience with single-cell or spatial genomics data ● Contributions to open
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Engineering, Applied Mathematics, Physics or a related field strong programming skills, e.g. in Python, Julia or C++, and experience in writing clean, well-tested code experience in numerical methods
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, OpenRouter) storing, querying, cleaning, and validating data using SQL/PostgreSQL applying NLP, statistical methods, and LLM-based approaches to textual data deploying and maintaining research code on Linux
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, MSc and PhD students Profile PhD in Sports Sciences or Engineering in the context of Sports Sciences Experience with longitudinal studies, tracking load and recovery in athletes Excellent coding
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Interest in lab-automation and working with agentic AI (e.g. Claude Code, Codex) Excellent communication skills in English Strong academic track-record and publication history The ability to collaborate in a
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CV A short cover letter explaining your motivation for the project and how your previous experience makes you a good fit for the position. Link to your relevant projects / code samples (optional
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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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and structural biology methods (X-ray crystallography, cryo-EM or NMR) Evidence of commitment to reproducibility, e.g. through careful record-keeping, code repositories or open protocols A strong desire
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coding and implementation skills, with the ability to run large-scale experiments. Prior research experience is advantageous for PhD applicants, while postdoctoral applicants are expected to have a strong