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microbial communities: Microbiome engineering for a Net Zero future”. This project is led by Professor Sophie Nixon at the University of Manchester, in collaboration with the Earlham Institute. In
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systems engineering, mathematical modelling, optimisation, machine learning, and artificial intelligence. What you will get in return: Fantastic market leading Pension scheme Excellent employee health and
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, or be working towards, a PhD or equivalent in environmental modelling, geographical information science, (computational) environmental science, (computational) physical geography, (computational
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at Liverpool University. In this project we are interrogating how plasmid-chromosome crosstalk (PCC) impacts plasmid-mediated horizontal gene transfer (HGT) efficiency of in situ engineering of a soil microbiome
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have quantitative skills training at the heart of our teaching, integrating with the Q-step programme. We work closely with social statistics, computer science, Institute for Data Science & Artificial
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Overall Purpose of the Job We are looking for an enthusiastic researcher with a PhD in statistical genetics, genetic analysis, bioinformatics or health data science or equivalent. The successful
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a bachelor’s degree) in a relevant biological science subject OR QCF level 2 passes (such as GCSE’s) in English and Mathematics and at least one Science subject and substantial relevant experience
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Overview of the posts The University of Manchester invites applications for two Research Associate posts in Health Economics. These positions offer the opportunity to contribute to work exploring
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physics, astronomy and biology. The Department of Computer Science is investing for growth in Computer Engineering and Architecture, as the enabling activity for these areas, and more. As a member of staff
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Overall Purpose of the Job: Working closely with the Compliance and Licensing Manager, the role holder will be responsible for managing licence applications to the Animals in Science regulatory Unit