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Field
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to have the following skills and experience: Essential criteria PhD qualified in relevant subject area Extensive experience working in bioinformatics with large datasets Previous experience in statistical
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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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nanoparticles, lipid droplets etc). Nanoscale characterisation expertise including Electron Microscopy and/or Atomic Force Microscopy. Evidence of research outputs including publications, conference contributions
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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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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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teaching responsibilities associated with this fellowship. We welcome applicants who possess the ability to engage with research and scholarship from multiple disciplines. Preference will be given
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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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, 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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have the ability and commitment to conduct excellent scholarly research in the areas of Organizational Behavior/Applied Psychology. We are particularly interested in candidates with research interests in