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into a working MVP fast enough to support the next grant application round. Main duties and responsibilities Rebuild the RVI scoring engine as clean, standalone Python code, implementing the validated
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characterization is an advantage. Experience with quantitative data analysis and programming (e.g. Python or MATLAB) is an asset. A self-motivated and organized working style, with the ability to work independently
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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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, mathematics, physics, engineering, computational biology or a related quantitative field ● Hands-on experience with biological data ● Strong Python skills and experience with PyTorch or JAX, together
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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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thesis or a project programming experience in a language such as Matlab, Julia, Python or R good written and spoken English During the PhD you may also work with finite element methods (e.g. COMSOL) and C
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. Main duties and responsibilities Extract and harden a scoring engine from an existing Python/Streamlit prototype into robust, standalone code Rebuild the data layer from Neo4j to a Python-native graph
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nearby For the Web Data, NLP & LLM profile, you have experience with Python, web scraping, and SQL. Experience with NLP, statistical methods, LLM pipelines, LLM APIs, and/or Docker is a plus For the
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engineering ability (e.g., OCaml, Rust, C/C++, Python, or other functional languages) Strong publication record (relative to your career stage) in internationally leading venues (e.g., POPL, PLDI, ICFP, OOPSLA
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(fluid dynamics) is highly beneficial Experience with statistical analysis, coding (R or Python), and digital modelling strongly preferred Willingness to travel (minimum to UK for experimental work