80 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" positions at Nature Careers in United Kingdom
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candidate will: Demonstrate experience in biological and clinical data analysis and across a range of NGS applications. Demonstrate experience in generative AI tools and advanced bioinformatics pipelines
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Application Information Please ensure you include the following documents in your application: As a valued member of our team you can expect: A competitive salary. An exciting, positive, creative, challenging
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the intellectual energy and independent thinking necessary to lead a programme of cutting-edge research and to shape the overall aims and success of the group. Drive rigorous experimental design, execution, and data
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aims and success of the group. Drive rigorous experimental design, execution, and data interpretation, ensuring robust and reproducible scientific outcomes. Manage research program through stage gated
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of what’s possible. Founded to commercialise research generated over the last decade at the Cavendish Laboratory, Nu Quantum is on a mission to shape the future of quantum information systems. We’re working
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Institute provides expert support to enable research involving human materials and data, while building institutional capability in key areas such as stem cell biology, genetic modification, and human model
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the Centre, enables collaborations in data analysis, computational modelling, machine learning and theory. SWC also benefits from interaction with the wider UCL Neuroscience community, which brings together
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enzyme assays A strong understanding of high-throughput and automated/semi-automated workflows in laboratory techniques relevant to the post Excellent skills in experimental design, data analysis
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research and unite our researchers around our Technology Innovation Challenges and Life Science Challenges. For more information on the Franklin’s Challenges click here . As a Research Associate at the
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-edge research and to shape the overall aims and success of the group. Drive rigorous experimental design, execution, and data interpretation, ensuring robust and reproducible scientific outcomes