153 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "Univ" "UNIV" uni jobs at University of Manchester
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: recruitmentservices.people@manchester.ac.uk Technical support: https://jobseekersupport.jobtrain.co.uk/support/home This vacancy will close for applications at midnight on the closing date. Please see the link below
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data sets to address clinically important research questions. As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender
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data collection, demonstrate understanding of the informal caregiving landscape and applied qualitative research methods. Knowledge of cancer caregiving is desirable. The successful applicant will work
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troubleshooting. Contribute to data analysis, interpretation, and dissemination of findings. The post holder will have the following key responsibilities Day-to-day management of large animal colonies and
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About the Role: Want your research skills to directly improve how pain medicines are prescribed for millions of people? This is your chance to turn big data into safer care. We are seeking a
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: recruitmentservices.people@manchester.ac.uk Technical support: https://jobseekersupport.jobtrain.co.uk/support/home This vacancy will close for applications at midnight on the closing date. Please see the link below
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@manchester.ac.uk Technical support: https://jobseekersupport.jobtrain.co.uk/support/home This vacancy will close for applications at midnight on the closing date. Please see the link below for the Further
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enquiries: Email: recruitmentservices.people@manchester.ac.uk Technical support: https://jobseekersupport.jobtrain.co.uk/support/home This vacancy will close for applications at midnight on the closing date
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properties. (For further information about the research group see webpage www.catenane.net). The successful applicant should have, or be working towards, a PhD in organic chemistry in the area of artificial
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using existing data to address critical gaps in musculoskeletal research. Each workstream is co-led by academic and patient partners and designed to address priority areas identified by people living with