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Research and Early Development are looking for an exceptional Postdoctoral Fellow to lead development and application of Machine Learning methods for the representation, analysis and interpretation
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ATAC sequencing, spatial transcriptomics, proteomics, whole-genome sequencing, functional screens, bioinformatics, and/or data algorithms including machine learning will be given preference. A successful
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opportunity of conducting ‘reverse translation’ research using high-throughput, multi-dimensional human biomarker data to learn directly from our clinical trials and to inform new discoveries. The candidate
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