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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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physics-based and machine-learning techniques to better understand physiochemical stability and developability of complex molecular formats and protein drug products. Key Responsibilities: Develop and
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