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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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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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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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the risk of developing comorbidities. This project aims to evaluate the impact of a digital technology that automates the transfer of structured diagnosis codes between care sites, helping to reduce
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microstructural and mechanical analysis. Candidates who have a strong background in material science and sustainable cementitious binder systems are encouraged to apply. Previous experience in the use of IBA and
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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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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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Photoelectron spectroscopy facilities and a proven track record of cutting-edge instrument development. You will be based in the Photon Science Institute, a diverse and collaborative interdisciplinary research
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, Midwifery and Social Work, School of Health Sciences, based at The University of Manchester. You will need excellent skills in mixed methods and/or qualitative research methods developed in health or social