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discipline Strong programming skills in R and/or Python , and experience developing reproducible, maintainable computational workflows using modern software development practices (e.g. Git, testing
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scientific software or programming languages Experience in diagnosing methodological, instrumental problems and developing robust solutions Scientific independence, creativity, organisational ability
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research environment (e. g., academic research group, core facility, company) Strong programming and data analysis skills, with demonstrated expertise in Python and scientific computing ecosystems
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