132 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" positions at University of Manchester
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occupational health and/or occupational hygiene. The successful candidate will work in a highly experienced and multidisciplinary team to develop and deliver high quality and innovative teaching on our MSc and
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collected histological images can serve as a cost-effective proxy for expensive spatial molecular profiling in brain tumour. The post-holder will contribute to the development of multimodal machine learning
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, analyse qualitative data, and help prepare summary reports and manuscripts for peer review publications. You will need to hold a PhD that includes training in qualitative research methods. You will have
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, Marketing, and Student Recruitment to develop and embed a plan that aligns with the University’s new 10-year strategic period, while also supporting other change processes. The role-holder will protect and
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minimal supervision, in a range of specific research activities of Dr Rok Krašovec research group at the Division of Evolution, Infection and Genomics. You must hold A qualification at QCF level 6 (such as
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the risk of developing comorbidities. This project aims to evaluate the impact of a digital technology that automates the transfer of structured diagnosis codes between care sites, helping to reduce
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annual Performance and Development Reviews What you will get in return: Fantastic market leading Pension scheme Excellent employee health and wellbeing services including an Employee Assistance Programme
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, and developed over more than seven decades. From sensitive medical trials and high-performance computing to AI tools, global research partnerships, and a user base of over 45,000 staff and students
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Manchester Metropolitan University, Plexal, and Barclays Eagle Labs). • Develop and help maintain excellent communication between all members of the research project, researchers, academics and SMEs
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Medicine degree programmes. The post holder will also be expected to develop and lead their own research programme that focuses on the development and application of econometric/modelling methods and use