78 data-"https:" "https:" "https:" "https:" "https:" "https:" "University of Exeter" uni jobs at Nature Careers in United Kingdom
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management skills, with the ability to build relationships across scientific, clinical and industry partners.* Confidence working with complex data, including financial tracking and reporting. Excellent
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of security, legal, and social implications of synthetic biology, automation, and large-scale data-driven science Ability to convene and collaborate with interdisciplinary stakeholders, including scientists
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, virology and/or infectious diseases Familiarity with clinical metagenomics applications and workflows Foundational skills in bioinformatics, particularly in the analysis of genomic or metagenomic data Key
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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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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