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, computational biology, or biomedicine, including methodological work and/or impactful computational studies addressing important biological or biomedical questions. Excellent programming skills in Python and
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or technical contributions through publications, open-source software, models, or comparable research outputs. Excellent programming and software engineering skills in Python, with experience building scalable
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programming skills in Python. Strong foundation in statistical genetics and quantitative methods for analysing large-scale genetic and molecular data, with familiarity with modern machine learning approaches
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skills You will enhance your professional skills by contributing to: Research software engineering for biomedical AI Refactoring and modularising scientific Python code. Turning research prototypes
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Python and experience working in Linux/HPC environments. Experience with statistical genetics software (e.g. PLINK, REGENIE, GCTA or equivalent). Fluency in spoken and written English. Preferred Experience