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Field
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perspectives. FemArc is a central activity in ConGender, focused on work in progress, and recruits beyond ConGender. The teaching consists of a one-year programme at BA level and two PhD courses. The one-year
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provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute
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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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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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collaborations and engage in knowledge transfer activities where appropriate; Contributing to the supervision of junior researchers and PhD students and acting as a mentor to less experienced colleagues
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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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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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knowledge on responsible innovation when AI is used to create, document, reactivate and conserve artworks and their archives. The successful applicant must have a PhD (or close to completion) in Philosophy