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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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engineering and design. Our multidisciplinary team combines expertise in bioinformatics, machine learning, and experimental molecular biology to tackle pressing challenges in protein design. Whom would we like
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Master's degree and PhD thesis in biotechnology topics in particular in plants and agronomy will be highly valued. Experience in RNAseq transcriptomic analysis and microarrays, as well as bioinformatics
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postdoctoral researchers. Research at CRAG encompasses basic science in plant development, physiology, metabolism and genetics; synthetic biology; bioinformatics and genomics of plants and farm animals; and
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, mathematics, statistics, genetics, bioinformatics, computer science or related disciplines within the European Higher Education System (minimum 300 ECTS) or equivalent by October 2024 Languages The candidate
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. Currently, the majority of activity in the Omics Sciences area focuses on genomics, yet we are open to other lines of research related to various Omics Sciences and Bioinformatics. In this regard, we
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2018 and is part of the “Bioinformatics and Genomics” program at the CRG. Further information can be found at https://weghornlab.net/ and at www.crg.eu/en/programmes-groups/weghorn-lab . Candidates may