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of machine learning and bioinformatics, implementing advanced techniques such as encoder-decoder language models, graph neural networks, and contrastive learning to annotate protein sequences with precision
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motivated and eager to work on evolutionary and biological problems and to learn about the use and development of computational, statistical and machine learning approaches. The Group Cancer is a genetic
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learning of generative protein language models. The successful candidate will have the unique opportunity to work at the interface of computational and experimental biology, implementing and refining machine
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about the use and development of computational, statistical and machine learning approaches. The Group Cancer is a genetic disease, subject to population genetics forces like mutation, selection and