33 data "https:" "https:" "https:" "https:" "Dr" "DESY" positions at LIVERPOOL JOHN MOORES UNIVERSITY
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bladder functional pharmacology. Interest in natural products would be desirable. This project is in partnership with JUDE, who is funding the project through their partnership with Dr Yousif Shamsaldeen’s
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with the people of Liverpool to improve lives and support communities is at the heart of why we were founded and why we exist today. We are seeking to appoint a Research Assistant to join Dr Olorunniji’s
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strategic priorities of the School, Faculty and University. Informal enquiries may be made to Dr Graham Downes, Subject Head. Email: G.A.Downes@ljmu.ac.uk . In return, we offer an excellent benefits package
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the geoarchaeology of the Neanderthal “Flower Burials” at Shanidar Cave, Iraq. The contract is for six months. The work will involve the analysis of sediments, recording of laboratory results, data entry and
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clear documentation. Use performance data and operational audits to identify improvements and demonstrate service quality to stakeholders. Lead staff training and development, ensuring all team members
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Medical Research Institute (SAHMRI). This is an excellent opportunity for an individual eager to develop expertise in big data analytics, expand their methodological skillset, and contribute to impactful
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, design, delivery and ongoing operation of Liverpool John Moores University’s enterprise data network across on-premises data centres and cloud environments. The role leads a team of specialist engineers
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qualification). You will be required to develop and deliver teaching in areas such as Management Accounting, Data Analysis and MS Excel. Liaise with businesses and other organisations to connect the research and
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the University’s core business and supports its strategic plan. Working within the Business Information Systems group, you will deliver solutions that exploit existing and new system functionality to facilitate
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testing and validation systems and in the AI data analysis to create multi-variate system models of different processes. You will be required to present their findings at both internal and external meetings