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Field
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the understanding of the role of RNA helicases in the regulation of mRNA translation. The successful candidate will develop and apply different techniques, including single-particle cryo-electron microscopy, to study
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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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September 2025 Background We are looking for a research fellow with expertise in advanced manufacturing (powder bed fusion/electron beam melting/sintering), physical metallurgy or advanced characterisation
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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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1st September 2025 Languages English English English The Faculty of Technology, Natural Sciences and Maritime Sciences have a vacancy for a position as PhD Research Fellow in Pioneering AI and
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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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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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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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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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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