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partners (AstraZeneca). Our work on early prediction of dementia has already gathered significant media interest (e.g. https://www.bbc.co.uk/news/health-57934589 ) and has potential to deliver transformative
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partners (AstraZeneca). Our work on early prediction of dementia has already gathered significant media interest (e.g. https://www.bbc.co.uk/news/health-57934589 ) and has potential to deliver transformative
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a joint venture between Medical Research Council, AstraZeneca and the University of Cambridge, this new laboratory aligns with the MTI's approach of breaking the mould in terms of how academia and
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working at the interface of chemistry, biology and medicine, and have interest in therapeutics discovery. Opportunities to visit AstraZeneca for placements during the PhD will be provided to gain industrial
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AstraZeneca for placements during the PhD will be provided to gain industrial work experience. This studentship is aligned with the Molecular Sciences for Medicine (MoSMed) Centre for Doctoral Training (CDT
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opportunity as an Industrial PhD student to work on a project that applies machine learning to improve diagnostic and reporting workflow processes in clinical kidney pathology. This project is a collaboration
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and continuous direct compression. You will spend at least 3 months of this 3 ½ year studentship working at AstraZeneca, where you will learn how computer modelling is applied to pharmaceutical process
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industry, with the longstanding presence of the GSK Cambridge Clinical Unit, and the recent arrival of the Global Research and Corporate Headquarters of AstraZeneca playing an important role in this. As Head
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Application deadline: 19/4/24 Research theme: Chemistry How to apply: https://uom.link/pgr-apply-fap This 4 year PhD project is funded by by CoEBio3 direct for this project. Tuition fees will be
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and advocacy skills. To be successful in this role, you will hold a PhD with significant post-qualification research experience, and have a track record in science coordination and/or delivery, in