72 data-"https:" "https:" "https:" "https:" "https:" positions at University of Manchester
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LINK TO APPLY: https://www.veredus.co.uk/job/job-788b/ [veredus.co.uk] Shape the future of dental education and research at one of the world’s leading universities. Part of the prestigious Russell
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status. All appointments are made on merit. Flexible, hybrid and job share applications will be considered. Interviews will be held in the New Year More information can be found at https://nsec.uk
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We are seeking a highly motivated and enthusiastic Early Career Researcher with an interest in big data and genomics to join a pioneering project embedded within the Our Future Health initiative
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industry innovation through advanced UK data assets. This is a senior operational role requiring a candidate who can drive complex workstreams, manage a skilled research team, and work confidently with
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The role-holder will develop internationally leading research and innovative teaching in the emerging field of Data Driven Solid Mechanics, contributing to the digital transformation of mechanical
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masters degree in a psychological, biological, or computational science. The post-holder will have the primary responsibility for the day-to-day data collection and data analysis in the UK. They will help
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information section of your application, please ensure you make reference to the job description and person specification above, as this will form an integral part of the shortlisting process. Interviews
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review relevant academic and policy literature; sourcing and collating data; designing, undertaking and completing econometric analyses to produce evidence to help decision-makers spend money
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balance. We particularly welcome applications from women for this post. An appointment will always be made on merit. For further information, please visit: https://www.bmh.manchester.ac.uk/about/equality
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customer-oriented attitude. You have good computer skills with experience working with Excel, Word and MS Outlook, and People/Payroll systems. You have experience working in a high volume transactional