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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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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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Education System (minimum 300 ECTS) or equivalent by October 2024 Languages You are proficient in English Technical skills R and/or python programming Data visualization (e.g. ggplot2) Basic machine learning
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are looking for a PhD student candidate to join the 'Evolutionary Processes Modeling' group. The ideal candidate should be highly motivated and eager to work on evolutionary and biological problems and to learn
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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