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biogeography, with a strong emphasis on computational data analysis. Alternatively, the candidate may hold a master’s degree in statistics, machine learning or related field, accompanied by prior experience
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, machine learning, time-series analysis, causal inference) Previous work experience with sensitive personal data Previous experience in pharmaceutical, medical technology, or hospital domain Experience with
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responsibilities Design, implement and benchmark deep machine learning models for large-scale cancer datasets that include genomics, transcriptomics, epigenomics and imaging data Collaborate closely with
Searches related to machine learning and image processing
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