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student enrolled in a recognised university pursuing a Bachelors or Masters degree in engineering, physics, mathematics or computer sciences and related discipline and/or an unaffiliated recent
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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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sciences research community. As part of this initiative, EMBL AI is establishing an AI Engineering & Automation Team at its Heidelberg Hub. As AI Engineer, you will be a founding member of this team
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software engineering, computer science, engineering, physics or a related field, or an equivalent combination of education, training and experience. Demonstrated experience developing maintainable software
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software engineering, computer science, engineering, physics or a related field, or an equivalent combination of education, training and experience. Demonstrated experience developing maintainable software
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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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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