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the subject area of research methods and physiology. You will join a team of lecturers delivering a suite of units across our Undergraduate and Postgraduate Taught degrees delivering content primarily to students
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across numerous countries. As the ICCS Administrator, you will play a critical role in supporting the ISC’s operations within the Department of Education, ensuring the seamless delivery of research
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About the role This Research Associate position is in development and application of chemical profiling methods in environmental samples utilising state-of-the-art hyphenated chromatography and mass
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, physiological stress measures (e.g. cortisol) or wearables (e.g. actigraphs) would similarly be desirable but not essential, as full training in all methods would be provided. Additional information
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level of accuracy and attention to detail competent, conscientious and motivated with a methodical approach to work able to work in a team, and independently, being proactive and able to use initiative
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of children and their parents/carers, liaising with schools and alternative educational settings, and helping to analyse the resulting data using quantitative methods. Previous experience of conducting research
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complex economic issues. You will hold a degree and postgraduate qualification in data science, mathematics, economics, or a related disciplinary field utilising statistics and advanced quantitative methods
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-analysis methods, and an enthusiasm for working with large datasets, including datasets with linked healthcare data. The successful applicant will need to already have, or be eligible for, accreditation as
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Engineering, Materials Science or Physics or extensive R&D experience in industry. Experience with 3D CAD software such as Creo or SolidWorks and technical drafting. Experience in experimental methods and data
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, environmental economics, green finance, ethical supply chains, and behavioural change. Digital and Technologies: AI and machine learning, cybersecurity, spatial intelligence, robotics, human-computer interaction