101 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" "Univ" positions at Nature Careers in United Kingdom
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central to shaping a newly established and rapidly scaling Plant Biology Institute with the ambition to become a global leader in plant phenotyping and data-driven plant science. The successful candidate
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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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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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throughput improvements, and ensure reproducibility across multiple crop systems. The successful candidate will lead a technical team and develop robust, data-driven platforms that enable rapid construct
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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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related fields. Skilled in data analysis and interpretation; experience with genomic analysis, automation, or computational tools desirable. Proven ability to work independently, think creatively, and solve