161 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" uni jobs at University of Manchester
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processes, while providing timely, accurate support to international employees and colleagues. The position contributes to the smooth and compliant management of immigration activities, data integrity, and
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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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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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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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an interdisciplinary, Pushing the Frontiers grant funded by the Natural Environment Research Council, involving data and models for microbial communities both assembling in the field and constructed in the laboratory
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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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: 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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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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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