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related fields (e.g. Computer Science, Mathematics, Mechanical Engineering) is required. Equivalent knowledge acquired through other means may also be accepted. In addition to the above, there is also a
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background in Machine Learning, with the ability to understand and extend current research Solid programming and engineering skills Comfortable working with modern development tools and practices Strong
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oral proficiency in English. The candidate should have A strong interest in protein science, proteomics, structural biology, computational biology, or machine learning. A solid background in molecular
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-cohort and perturbation datasets, the work aims to uncover isoform-level regulatory mechanisms and guide the development of next-generation RNA therapeutics with improved specificity and reduced off-target