13 data-"https:"-"https:"-"https:"-"https:"-"Inserm"-"Institut-Agro-Rennes-Angers" positions at LIVERPOOL JOHN MOORES UNIVERSITY in United Kingdom
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technologies and data science. Our academics have a strong track record of collaborating with others in the industry, having previously used our expertise to work with organisations such as the BBC, NHS
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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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role in all aspects of the programme of work, including: study design; logistical management, the day-to-day running and administration of the research project; quantitative and qualitative data
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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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that this is the role you have been looking for and your skills and experience can make a real difference at LJMU, we look forward to hearing from you. Please note that we do not accept supplementary information
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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