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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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excellence Ability to solve problems creatively and carefully Ability to conduct independent research, as well as to work effectively as a member of a research team Good command of English (working language
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knowledge, in particular with the R programming language for in silico analysis of transcriptomic data. Experience in molecular biology techniques (DNA/RNA and protein extraction), transformation
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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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programming language and/or instrument automatization. Competences: Communication skills are a must, to be able to get integrated in our group, and to interact with collaborators and other scientists or general