52 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Newcastle University" positions at University of Liverpool in United Kingdom
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The Department of History (https://www.liverpool.ac.uk/history/) seeks to recruit a Postdoctoral Research Associate to work on 'Monastic Economies in the Carolingian Age - 'Farfa and Fulda', a
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collaborative working with the Welsh fishing industry across two projects to support data collection, analysis and reporting. The project aims to provide evidence to inform sustainable fisheries management in
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team. The focus of your work during the project will be a near 7-year record of time lapse camera data collected overlooking the marine terminating glacier Narsap Sermia, SW Greenland. This hourly
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with suppliers to ensure high service standards with minimal waste. You will help monitor trends and usage data, contributing to reporting that supports future recruitment planning and service
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or social care research, and the ability to build effective partnerships across universities, NHS organisations, local authorities and the voluntary sector. You will be confident analysing complex information
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the research group of Professor Alex Cowan in the Department of Chemistry and the Stephenson Institute for Renewable Energy you will create an integrated platform with comprehensive data logging, enabling
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leadership of senior operational managers and oversight of maintenance performance, budgets and asset data quality. You will bring substantial experience in asset management, estates or building maintenance
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(or equivalent) in a relevant subject, be computer literate and in addition have experience of handling a variety of different sample types. The post is available until 28th February 2027. Our
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analysing behavioural data, supporting animal welfare monitoring, and contributing to research outputs including reports and publications. You will be based at the Leahurst Campus (Wirral Peninsula) and spend
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prediction and estimate kinetic parameters for enzyme-constrained models. By processing proprietary multi-omics data, you will initially focus on determining metabolic vulnerabilities in Zymoseptoria tritici