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-based approaches to advance scientific discovery. EMBL AI will host new AI research groups and data engineering teams, supported by state-of-the-art infrastructure, along with fellowship and skills
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science community. You may develop projects in fields including: Data and computational science: Bioinformatics, AI/ML, computational modelling, software engineering, data management, data science
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expertise, effective collaboration and timely delivery of high-quality engineering solutions. Your Responsibilities Design and develop mechanical components and assemblies for advanced scientific
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focused on wet lab work and centers on two complementary areas: maintaining and engineering mammalian cell culture systems, and developing novel low-input sequencing protocols adapted from state-of
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focused on wet lab work and centers on two complementary areas: maintaining and engineering mammalian cell culture systems, and developing novel low-input sequencing protocols adapted from state-of
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expertise, effective collaboration and timely delivery of high-quality engineering solutions. Your Responsibilities Design and develop mechanical components and assemblies for advanced scientific
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engineering advances to support life science research. EMBL has been at the forefront of numerous engineering and microscopy breakthroughs, significantly advancing imaging technologies and enabling new
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, please visit the facility website ( https://www.embl.org/groups/metabolomics/ ) that presents more information about the services, instrumentation, protocols, spectral library as well as video
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interfaces with engineers, physicists, biologists and research users. Establish and apply professional software-engineering practices across architecture, testing, version control, documentation, sharing
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interfaces with engineers, physicists, biologists and research users. Establish and apply professional software-engineering practices across architecture, testing, version control, documentation, sharing