72 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" uni jobs at Nature Careers in United Kingdom
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has a focus on high quality research in the fields of health data science, trials and behavioural interventions delivered in the community, out-of-hours and emergency services and other health care
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: - Experience with web content management systems (e.g. WordPress) for creating online content. - Understanding of data and metrics analysis and reporting (e.g. Google Analytics; confident use of Excel
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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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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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. 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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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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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