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Field
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, the adoption of AI in project management remains in the nascent stages. This PhD project will critically investigate how AI is shaping the management of projects and project studies. It aims to generate new
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. The successful candidate will work with the principal investigator and key stakeholders from government, healthcare, industry, and academia to co-design, develop, and manage content for a creative, user-friendly
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materials, presentations at conferences or exhibiting work at appropriate events and via the media, etc. Contribute to ECLIPSE project management and reporting, including input to periodic reports and
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additional support for research expenses. This collaborative project is between the Department of Marketing & Centre for Consumption Insights at Lancaster University Management School and the University
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(NPEU) as a Health Services Researcher/Epidemiologist. In this role, you will contribute to important projects focused on health outcomes and care experiences for women before, during, and after pregnancy
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assurance, alongside transferable skills in critical thinking, project management, and technical communication. Exposure to both theoretical research and practical experimentation will provide excellent
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workshops with key stakeholders to develop recommendations for a communication-informed care pathway. Working closely with the project leads and co-investigators, you will: Lead liaison with clinical sites
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, Sweden) and Dr Andreas Dannhorn (Associate Director, Integrated Bioanalysis, Cambridge, UK). Project Heart failure with preserved ejection fraction (HFpEF) is a common, under-recognised condition strongly
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global change, damaging critical infrastructure resilience. This project is part of the prestigious Loughborough University Vice Chancellor’s PhD Cluster – RAINDROP (Resilient eArthwork INfrastructure
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-treatment facilities, and biorefineries. Feedstock choice, regional dynamics, and process side-streams all affect costs, energy use, and emissions. This PhD project will develop advanced computational models