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or information sessions to a range of audiences. The role requires flexibility, including occasional evening and weekend work, as well as regular travel to schools, recruitment fairs and events primarily across
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. They will demonstrate the ability to manage multiple priorities, work under pressure and maintain excellent attention to detail. Key responsibilities include managing event data and evaluation processes
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/ data science/ public health with a strong background in quantitative methods/ statistical analysis and experience of ageing research. This post will provide opportunities to develop your career working
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). This individual will provide technical assistance, manage the study database, analyse gait/physical activity data, process DMOs and publish key findings from the study. The DMSS aims to determine whether DMOs can
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of extension by 1 year. This project involves searching new particles using the data from the ATLAS experiment at the Large Hadron Collider. The successful candidates will analyse data from the ATLAS experiment
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clinical studies and routine health data to assess the economic value of new interventions and healthcare pathways. The post holder will develop research in one or more disease areas (e.g. cancer
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companies with the world's largest harmonised agricultural data archive and environmental impact calculation tools. The Role We're seeking a Technical Projects Lead to manage our government and NGO contract
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Student Wellbeing, the Students’ Union, HR and academic departments, the postholder analyses institutional data, produces reports (including the annual institutional report), and provides specialist advice
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the current titers through process parameter optimisation and develop a multi sensor flask system to accelerate scale-up data collection . You will focus on the development of continuous fermentation and
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learners with a high technical literacy who wish to gain or build on experience in clinical data management within a CTU. Appointment will depend on experience, specifically in the development of data