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Collect research data via experiments carried out on the analysis and recycling of Li ion battery materials Supervise students on research related work and provide guidance to PhD students on the Li ion
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learning provision, with our Collaborative Teaching Laboratory, which opened September 2018, already revolutionising how we teach undergraduate practical chemistry. We are a collegiate School community. You
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, endocrine aspects of fertility and miscarriage; metabolic health in pregnancy). In addition, there is ready access to collaboration with mathematical modellers and computer scientists through the research
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leadership which will positively enhance the profile of the School and the University. The post holder will also contribute to teaching and learning, contribute at a high level to leadership and management
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quantitative data analysis: applied machine learning, statistical analysis, and handling complex data. Programming skills in Python and R are essential Experience in applying computational methods to research
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specific a focus on the applications of machine learning and artificial intelligence in higher education. Lead and oversee training and support provision to academic staff on the use of AI tools in
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collaboration with Public Health England (PHE) at Porton Down. You will be a trustworthy, conscientious, innovative experimental scientist who has successfully completed a PhD in Materials Science, Chemistry
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clearly. Ability to assess resource requirements and use effectively. Ability to identify and learn new techniques and software skills, through self-study, training and/or CPD. Work within specified
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teaching and research and includes among its staff internationally renowned scholars and award-winning writers. There is a vibrant PhD community, and the department enjoys strong relationships with national
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in statistics, machine learning, mathematical modelling, or a related field, to join our research team in the Department of Applied Health Sciences. The successful candidate will work on an NIHR funded