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molecular evolution, particularly in viruses with epidemic and pandemic potential, as well as those with significant implications for plant and animal health. This post is part of a Wellcome Trust-funded
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, into accessible and practical resources, and will use these, alongside their scoping activities to support bid development activities across the Centre. The successful applicant will be expected to be proficient in
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on the development of a computational setup for fiber-enriched materials design within the Processing-Structure-Properties-Performance (PSPP) framework under the joint supervision of Assistant Professor Sergei Khakalo
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Catechetics. The Department of Practical Theology and its staff have a special academic interest in social developments and their challenges for theology, church, politics and education. Therefore
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interpretation of all data, maintaining records and databases, drafting technical/progress reports and papers as appropriate. 3. Develop and enhance your research profile and reputation and that of the School
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well as facilitating the bids of others, they will have an opportunity to collaborate with researchers in the centre to initiate, shape and develop funding applications which develop their own research. A successful
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develop advanced computational pipelines, contribute to impactful publications, and collaborate with leading researchers both in the UK and US laboratories. Whether you are looking to advance your
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potato and wheat. The post holder will be a member of a collaborative research consortium involving academic and industry partners. There will be opportunities for personal development, mentoring with
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stakeholders. The successful applicant will be expected to lead and develop qualitative research activities, data analysis and project support. The applicant will have responsibility for leading research
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We are seeking an ambitious scientist to join a vibrant team examining the evolution of locomotion in birds. The overall aim of the project is to deliver an exhaustive anatomical and functional data