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policymakers. Their work should contribute to knowledge-building in their areas of expertise. The job scope includes: • Work closely with the department head and IPS Director in research projects that support
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We are seeking applications for two Research Fellows to join a NERC-funded project "Understanding the spatio-temporal variability of soil moisture and its feedbacks across scales," led by Professor
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Term Hours Full Time Apply on website Save jobClick to add the job to your shortlist You need to sign in or create an account to save a job. Send job Key Responsibilities: Participate in and manage the
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engagement methodologies for the design of large language model (LLM) agents within digital health interventions. Stakeholders in this context include subject matter experts—such as clinicians, healthcare
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Department of Logistics and Maritime Studies Postdoctoral Fellow (Ref. 250611007) [Appointment period: twelve months] Duties The appointee will assist the project leader in the research project
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About the Project We are seeking a talented and dedicated team of scientists, bioinformaticians and support colleagues to join the ground-breaking PharosAI initiative – a £43.6M national programme
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of publications and/or conference papers and/or patents. Strong background in R&D with self-motivation and initiative. Ability to develop and manage R&D projects with good understanding of industrial
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Kingdom of Great Britain and Northern Ireland, the Government of Ireland, and the Northern Ireland administration. The Research Fellow will undertake research tasks during the project with the support of the project’s coinvestigators based at Queen’s
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assessments. The project explores the valorisation of floral waste streams into high-value products such as bio-based fragrances with potential applications in sectors such as personal care, cosmetics and
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of aviation, including but not limited to aviation operations, management, safety, technology and policy; (b) lead or participate in aviation-related research projects, including project design, data