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bases, interventions and policies focused on sustainability and net zero transformations. By connecting sustainability with justice, research with action, and constituent knowledge producers and community
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best practice guidance. You should have demonstrable skills in qualitative data analysis, including familiarity with, or knowledge of, engaging research methods (e.g. participatory video, photovoice
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conducting a comprehensive literature review on existing knowledge and understanding relating to vacuum arcs, leading the establishment of a mathematic model for metal vapour arcs burning in vacuum background
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(SHINERS). Data analysis, interpretation, and reporting to group, project partners, and relevant audiences. Dissemination of research findings finding in academic journals and presentations at (inter
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, collaborative research that combines lab-based experiments with large-scale data handling and analysis. The post is available for up to 25 months in the first instance with a preferred start date of July/ August
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regional workshops and events, data collation and analysis support and output development. Appropriate training and guidance will be provided for analytical methods and handling data types as needed. This is
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. Working across modelling and observational-experimental disciplines is a key component of how we do our research. You will also be part of the Department of Earth Oceans and Ecological Science, and wider
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also offer some opportunities to actively contribute to research design, data analysis, presentations, and public engagement outputs. To support professional growth, the Research Assistant will receive
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To undertake research on the evolution of prokaryotic pangenomes using machine learning and AI approaches. The work will involve the analysis of large prokaryotic genome datasets, the development
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high quality human sample processing, storage and analysis services for University of Liverpool researchers as well as external collaborators and service users. You will report to the Senior Biobank