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and PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental
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, knowledge exchange and impact Promotes equality and values diversity acting as a role model and fostering an inclusive working culture Person Specification Essential: PhD (or near completion) in
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the appropriate area. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous
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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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skills and desirably some computer modelling experience, and an ability to work in a multidisciplinary team and engage confidently with partners. You will have a track record of publishing high impact
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candidate will have a PhD degree, or equivalent qualifications relevant to atmospheric science. Experience in offline chemical analysis, mass spectroscopic and advanced data analysis in atmospheric science is
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should have required qualifications and experience Education: PhD in Biomedical Engineering, Electronic Engineering, Mechanical Engineering, Materials Science, or related disciplines with a strong academic
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for publication, research seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and
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value diversity, acting as a role model and fostering an inclusive working culture Person Specification A Master’s degree in social research or a related discipline (or nearing completion of PhD
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here includes work to develop new principles and methods for Advanced User Modelling, sequential decision making and Automatic Experimental Design, with and without a Human-in-the-Loop. A PhD (or