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of living cells organizes itself. The lab uses a bottom-up synthetic biology approach and computer simulations to gain insight into the molecular mechanisms and physical principles underlying microtubule
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protein design! We are a leading research group dedicated to implementing generative AI models to revolutionize protein engineering and design. Our multidisciplinary team combines expertise in
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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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contribute to the CRG's commitment to world-class research in the life sciences. The Coordinator will be expected to ensure seamless workflow within the Strategy and Funding (SaF) department and to lead the
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are a leading research group dedicated to implementing generative AI models to revolutionize protein engineering and design. Our multidisciplinary team combines expertise in bioinformatics, machine
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with detailed biochemical and cellular assays and collaborates closely with other groups working on computational and structural biology to study molecular mechanisms and networks of alternative splicing
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combines high-throughput methods with detailed biochemical and cellular assays and collaborates closely with other groups working on computational and structural biology to study molecular mechanisms and
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). The team includes lab members who are experts in imaging, cell biology, and computational science. Whom would we like to hire? Professional experience Must Have You have several years of experience in
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units of proteomics, bioinformatics, protein technologies, tissue engineering, flow cytometry and advanced light microscopy. The programme is directed by Mònica Morales and all units collaborate strongly
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Technologies Programme that includes the technology units of proteomics, bioinformatics, protein technologies, tissue engineering, flow cytometry and advanced light microscopy. The programme is directed by