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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
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learning, and experimental molecular biology to tackle pressing challenges in protein design. Whom would we like to hire? Professional experience Must Have A PhD or equivalent Strong technical skills in
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sets before (e.g. DNA-seq, RNA-seq) Experience with modeling, statistical analysis and/or machine learning is a plus Education and training You should have a master's or PhD degree in bioinformatics
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sets before (e.g. DNA-seq, RNA-seq) Experience with modeling, statistical analysis and/or machine learning is a plus Education and training You should have a master's or PhD degree in bioinformatics
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machine-learning algorithms, Data analytics You have knowledge of databases: SQL, ElasticSearch, MongoDB, Neo4J, etc. Having database management experience is a major plus You have experience in Data