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molecular tools, capsid architectural modeling, classical nucleation theory, molecular dynamics simulations, and protein expression. The ideal candidate will have a background in mathematical biology
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Science, or a related field Strong programming skills in Python, R Solid understanding of: Machine learning fundamentals Deep learning architecture (e.g., CNNs, RNNs, Transformers) Optimization and model
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