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, TESPy, or similar libraries. Strong programming skills in Python or MATLAB, including use of scientific libraries (e.g., NumPy, Pandas, Matplotlib, etc). Experience with machine learning (e.g., Scikit
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, multidisciplinary team to push the boundaries of therapeutic protein engineering. Responsibilities are Design and implement inhibitor libraries using generative AI tools such as RFdiffusion2 or BoltzDesign. Perform
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