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participatory research, supported by supervisors in urban planning, climate adaptation, and social justice. It forms part of the Flood CDT and aligns with Loughborough University’s research on equitable
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applications from under-represented groups. Part-time study options are available. Number Of Awards 13 PhD studentships offered across all partner institutions Start Date 1st October 2026 Award Duration 3.5
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by researching and learning abroad as part of your PhD programme Preparation for a prestigious academic or research career Option to choose our Behavioural Science pathway. Course details: The MRes/PhD
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or transnational issues, either wholly or in part, are welcomed. The successful candidate will be supervised by Dr Emily Jones alongside a second supervisor who will be chosen based on the best fit with the project
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other scholarship supporting the proposed PhD research. Funding Details: 3-year award (or equivalent for part-time students) Funding covers full Home tuition fees plus UKRI stipend (£20,780 for 2025/26
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time. As part of your application, you need to submit a strong research proposal in areas including, but not limited to: Asset pricing and investment Empirical asset pricing and performance evaluation
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within a team Essential Application and Interview Further Information Grade 7 Salary £38,784 - £47,389 Work arrangement Part-time 80%wte Duration 24 months ideally starting 1st March 2026 Line manager
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multinational medical device companies. The candidate will be part of a diverse, international team. We welcome applications from all qualified applicants and encourage applications from traditionally under
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Charter and the Race Equality Charter, and champions LGBT+ equality. We are a Disability Confident Employer (Level 2). Applications for job-share, part-time and flexible working arrangements are welcomed
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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
reply. LLM-based agents is becoming a key part of our everyday life and work, handling multi-step actions in a variety of application domains. However, an important open challenge is making these agents