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structural biology to tackle challenging scientific questions. Your responsibilities will include, but are not limited to: Multi-omics analysis of bulk and single-cell sequencing data. Developing deep learning
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challenges, including data analysis, hypothesis generation, and experimental design optimization. We seek a highly motivated postdoctoral candidate with expertise in AI, machine learning, and computational
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mutation on protein structure and the role of genomic alterations on cancer cell state. While this position is computational, the project is highly collaborative, involving regular interaction with
Searches related to structural optimization
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