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Research Fellow: PLANET study: Planning for End of Treatment – sharing information to prepare children, young people and families to move into survivorship care when active treatment finishes
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using an atmospheric solids analysis probe system). An understanding of numerical data analysis (including chemometric techniques) will be an advantage as will experience of writing scientific reports
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external partners/professionals Specialist knowledge and experience of quantitative research methods and analysing data from a range of sources Competence in analytic/statistical software such as SPSS, R
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sustainable vehicles. The role will encompass activities related to electric powertrain, including life cycle data analysis, impact assessment, batteries, integration with solar panels. It will also involve
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will be responsible for the day-to-day research tasks in accordance with the project plan. This will include laboratory experimentation, vehicle testing and data analysis, and will entail coordination
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, with experience in modelling and data analysis and a publication track record. How to Apply To apply for this role, please upload a CV and cover letter with your application on the University of Surrey
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characterisation for further catalyst discovery and process engineering. Some of the key responsibilities include: To conduct data analysis and ensure the validity and reliability of data at all times To maintain
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Prof. Jennifer Wen (FREng); j.wen@surrey.ac.uk Information about research activities at FMEG can be found at https://www.surrey.ac.uk/fire-and-explosion-modelling-group Further details Job Description
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of cardiac rhythm abnormalities. A major component of this post will involve data collection, analysis, interpretation and manuscript preparation. The successful candidate will also be expected to prepare
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data would be desirable. Dr Nalesso's laboratory is located in state of the art facilities at the Manor Park Campus of the University of Surrey in Guildford. Guildford is easily reachable by train from