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programming language(s) and a track record of computational code development. Experience with Wannier function based techniques is desirable. Knowledge of the Korringa-Kohn-Rostoker (KKR) Green's function
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Language Models (LLMs). Distributed Machine Learning: Specialization in data parallelism, model-parallelism, and collective communication strategies in large-scale environments. Proficiency in frameworks
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. Develop and implement generative models, including Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs) Design and train language models tailored for polymer molecules Understand
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protein engineering and computational protein design Experience with large language models Experience with machine learning frameworks such as PyTorch, TensorFlow, and Scikit-learn Proven publication record