68 evolution "https:" "https:" "https:" "https:" uni jobs at University of Manchester
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inclusive team that values diverse perspectives and supports career development. Contribute to a nationally significant research programme with real-world impact. Help build and support communities
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and mutagenesis/directed evolution, and a track record of developing innovative experimental approaches. Candidates should have, or expect to complete, a PhD (or equivalent) and have their thesis
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research groups are part of the MERMan research cluster of more than 100 researchers working in microbial ecology and evolution. The Department of Earth and Environmental Sciences is strongly committed
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, and researchers. Find out more about our organisation and values: The role Two Oracle Developers will join the Applications Support and Development team within IT Services. The roles are an 18-month
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to cardiovascular medical devices and imaging are particularly welcome. APPLICATION PROCESS Key contacts and information about the Faculty, Schools, Departments and Institutes can be found on our website (https
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clinical and classroom teaching to undergraduate and postgraduate students, to contribute to service and research, and to drive curriculum development and delivery in Oral Medicine in the Division
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ensuring the successful delivery of research activities related to sulfur hexafluoride (SF6) and its alternatives, as well as the development of high-current high-voltage circuits. What will you get
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neuroscience, cancer biology, imaging, nanotechnology, and translational research. The research environment is fast-moving, collaborative, inclusive, and supportive of career development. This CRUK-funded
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and a range of lifestyle discounts; support from the learning and development team to support professional development; and wellbeing support to enable colleagues to realise their potential and achieve
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ambitious objectives. You will contribute to the development of innovative experimental approaches using patient-derived tissues and study tumour cell responses in models with varying genomic instability