43 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Nature Careers in United Kingdom
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of emerging methods in metabolic analysis, metabolic modelling, machine learning, and data-driven biology, identifying opportunities to apply new tools to accelerate discovery. Work closely with experimental
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, to generate crucial information revealing the cellular roles, functions and underlying mechanisms by which MICL regulates immunity. The focus of this work will be to elucidate the components of MICL involved in
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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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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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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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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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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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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