348 data "https:" "https:" "https:" "https:" "UNIVERSITY OF RIJEKA" positions at University of Nottingham
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qualification as recognised by the DfE https://www.gov.uk/government/publications/early-years-qualifications-achieved-in-england It is a requirement of the post that a satisfactory enhanced disclosure is obtained
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https://mediaspace.nottingham.ac.uk/media/t/1_jdj4s55c To understand our recruitment process (including some handy tips and advice), please follow this link Understanding our application process - The
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, preferably at Masters level (in exceptional circumstances a 2:1 degree can be considered). To apply visit: http://www.nottingham.ac.uk/pgstudy/apply/apply-online.aspx For any enquiries about the project please
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- dave.butler@nottingham.ac.uk. Please note that applications sent to this e-mail will not be considered. All of our vacancies are available to view at: https://www.nottingham.ac.uk/jobs/home.aspx Our university
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advised that normally your references will be contacted prior to the interview. For more details and/or to apply on-line please access: https://jobs.nottingham.edu.cn/job/184375/ If you are unable to apply
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extended by mutual agreement. Applicants are invited to submit their applications via the application link https://jobs.nottingham.edu.cn/job/184369/ by 23:59 Beijing Time, 23 February 2026, which should
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to Apply Applicants are invited to submit their applications via the application link below. https://jobs.nottingham.edu.cn/job/184340/ Applications should include but are not limited to the following: A
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. You will be responsible for the maintenance and calibration of machinery designed to feed dairy cattle, and the observation, sampling and handling of dairy cattle. Your role will involve data recording
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) and other activities to support the project. These may include organising workshops, conferences and other public-facing events, constructing bibliographies, preparing outputs for publication, data
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exotic animal cases in first-opinion practice. As part of this project, you will gain mixed-methods research experience, including data collection and analysis using both quantitative and qualitative