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Field
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reconciliation, enhancement, and integration of the MLGB dataset, working with legacy print, manuscript, and digital sources. You will apply and adapt digital methods (especially TEI XML), analyse provenance data
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A PhD studentship is available to work on Logistics automation. The student associate will work in the Intelligent Logistics Group within the Distributed Information and Automation Laboratory (DIAL
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and complete a PhD dissertation Participate in scientific conferences and events to present research findings and engage with the academic community For more information about the project, please get in
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teaching experience. Preferred Requirements: Experience teaching first-year undergraduate students. Visa sponsorship is not available for this position. Additional Information: Binghamton University is
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interest in the role. For more information or informal enquiries, please contact Dr David Greenwood, david.greenwood@newcastle.ac.uk (ResTOrES) or Dr Shahab Dehghan shahab.dehghan@newcastle.ac.uk (RENEW
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for their projects. AI transformation processes in projects and organizations Ethical considerations of using AI in project planning and delivery The use of project data analytics in AI-driven decision-making Machine
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academia and industry. Uncover and quantify critical degradation mechanisms to inform the design of next-generation fusion materials. Translate sophisticated scientific data into impactful insights through
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to inform the design of next-generation fusion materials. Translate sophisticated scientific data into impactful insights through clear communication to diverse audiences, including industry stakeholders and
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the interview in person at City Campus. For informal enquiries and further information, please contact Prof Angus Pryor apryor@glos.ac.uk
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letter (maximum 2 pages) and your CV (maximum 2 pages). Please make sure that your cover letter and CV provide adequate information on your academic ability, research potential, communication and