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to be more environmentally friendly in their research practices. The successful candidate will work alongside a multidisciplinary group of researchers to collect and analyse a range of staff data (survey
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analysis of galaxy cluster number counts from SO and Weak Lensing from LSST, and the application of these methods to early data from both surveys. The second post will be focused on the combination of galaxy
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for an enthusiastic, well-motivated individual to work as part of a sociable multi-disciplinary team consisting of physicists, computer scientists, clinicians, radiographers, and imaging experts. The ideal candidate
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appointment will be made on merit. For further information, please visit: https://www.bmh.manchester.ac.uk/about/equality/ Successful candidates may be subject to pre-employment screening carried out on our
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We are seeking ambitious Postdoctoral Research Associates who are passionate about foundation models, multimodal AI, and longitudinal health and care data to join our world-leading multidisciplinary
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Integrations, Microsoft SSIS, and SoftwareAG webMethods. Supporting over 800 integration processes, the team ensures reliable data exchange across internal and external systems. The University is currently
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made up of five academic departments. For more information please visit https://www.se.manchester.ac.uk/. We are seeking an enthusiastic and proactive Technician in Engineering Biology to join our
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what lessons these hold for the wider region and the UK. The role will primarily include qualitative data gathering and analysis methods, including semi-structured interviews, workshops, focus groups and
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not limited to, flow cytometry, ELISA, RT-PCR, bulk and single cell RNA sequencing, imaging and other emerging technologies – including aspects of informatics and data analysis. The PDRA would be
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be required to engage with various stakeholders including educational institutions, NHS Trusts and regulatory bodies. Candidates should use the ‘supporting information’ section of their application