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· leave the ‘Research Area’ field blank · select ‘PhD Energy Materials' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: · a
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Joint Faculty of Medical Sciences (FMS) and NIHR Applied Research Collaborative North East and North Cumbria (ARC NENC) PhD Studentship – Developing a risk-based care pathway for patients with
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Interested in how to shape the future of care for patients suspected of having a TIA? This PhD will explore how a risk-stratified approach could be developed with key stakeholders. National guidelines advise
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emergence of large-scale quantum computing poses a significant threat to current public-key cryptographic schemes (e.g., RSA and ECC), creating an urgent need for quantum-safe security solutions. This PhD
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select ‘PhD Computer Science’ as programme of study You need to provide the following information in ‘Further Questions’ section: ‘Personal Statement’ (mandatory) - upload document or write statement
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an efficient and mature technology, yet it requires high temperatures and has a large carbon footprint. This PhD project addresses a key challenge: efficiently producing bio-methanol from abundant
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(Edge AI) enables deploying AI algorithms and models directly on edge devices. However, AI workloads demand high performance processing, large scale data handling, and specialized hardware accelerators
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PhD studentship in Trustworthy Multimodal AI under Lightweight and Data-Efficient Architectures Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26