81 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" positions at Nature Careers in United Kingdom
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-disciplinary and collaborative environment at our state-of-the-art research facility at Harwell in Oxfordshire. For more information on the Franklin’s Challenges click here . The Multidimensional Imaging (MDI
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leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine
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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 in Chemical
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biopsy development. This role is suitable for candidates with either (i) a computational background (e.g. bioinformatics, data science, computational biology) who enjoy working closely with experimental
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tangible patient benefits. About the Institute The Precision Healthcare University Research Institute (PHURI) aims to improve health through data-driven medicine. PHURI’s multidisciplinary teams will address
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computational methods and algorithms for genomic sequencing data analysis, particularly in the context of genome assembly. This is an exciting opportunity to develop novel computational approaches for microbial
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. The successful candidate will assist with data collection, maintain accurate records, and uphold rigorous laboratory safety and maintenance standards. With responsibilities spanning inventory management, equipment
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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 . The Role We are seeking a highly
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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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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