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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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, cognitive science and multi-modal data integration. Experience, in particular in combining different modalities (longitudinal data, multi-omics, EEGs, NLP, etc.), is a clear advantage. In your online
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data using appropriate theoretical and methodological frameworks Apply knowledge in a way that develops new intellectual understanding Disseminate research findings through academic publications
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model, and fostering an inclusive working culture Person Specification PHD (or near to completion) degree in Physics and/or Astrophysics, and experience with interpretation of astronomical data High level
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responsible for the entire project from polymer synthesis, crystallisation-driven self-assembly, characterising data collection interpretation. Training will be provided in all of the component techniques but
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project supervisor, group members and project partners, attend regular project meetings and give research presentations Contribute to writing bids for research funding Analyse and interpret data Apply
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supervision Conduct qualitative data collection, including semi-structured interviews and/or focus groups Analyse and interpret qualitative data using appropriate methods (e.g. thematic analysis) Use
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graduates on challenging, high-profile projects. Further information is available at: www.birmingham.ac.uk/ktp Role Summary The post holder will carry out research on and work with Salinity's customers
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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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to Tackle Modern Slavery’, led by Dr Rowland Seymour. The successful candidate will join a diverse and friendly research group with PhD students and a Research Software Engineer. The goal of the project is to