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experiments and research strategy in consultation with the PI Carrying out experiments and analysing data Keeping accurate and timely records of their work Engaging in professional development and growth Liaise
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and phenotypic data Build computational pipelines linking sequence variation to predicted metabolic function Establish a design-build-test-learn cycle in close collaboration with the experimentalist in
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in Python (e.g. numpy, pandas, PyTorch and/or JAX). Experience analysing complex biological, imaging or spatial datasets, or strong evidence of rapidly adapting to new data domains. Excellent
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