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Prof. Andy Hector and Dr. Iain Stott, as well as key international partners Prof Tuljapurkar and Dr Barabás. Applicants should hold (or be near completion of) a PhD/DPhil in ecology, theoretical biology
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, and to participate in collaborative research projects. The project could be extended for an additional two years, depending on funding availability and performance. You will hold a relevant PhD/DPhil
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of group-funding applications for new research projects. You must hold a PhD/DPhil in physics, engineering, biotechnology, or biophysics, with post-qualification research experience in biophysics
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members of the research group including research assistants, PhD students, 3rd/4th year students, and/or project volunteers. This role is offered with full time hours, on a fixed-term basis for 1 year with
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microbiology, and machine learning, you will identify AMR genes, pathogens of public health concern (including ESKAPE and WHO-priority organisms), and reconstruct metagenome-assembled genomes (MAGs). Across five
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McGonigal group, see our recent papers 1 , 2 , 3 . The position is funded by UKRI. Find out more about the McGonigal research and group here . About you Applicants must hold a PhD in Chemistry or a relevant
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collaborations within the centre. You must hold a PhD (or near completion) in immunology, or a related field together with proficiency in innate and adaptive immune cell assays such as flow cytometry and ELISA
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background in mathematics, statistics, population genetics, phylogenetics, epidemiological modelling, or machine learning. Highly motivated candidates with some, but not all, of the skills requested will be
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, including quantum field theory, condensed matter physics and/or quantum information theory. Applicants will be expected to have, or be close to completing, a PhD in theoretical or mathematical physics or a
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and apply state-of-the-art modelling, characterisation, and machine learning techniques to understand how batteries behave and age. Collaborating with project partners, you’ll turn these insights