Sort by
Refine Your Search
-
Award summary 100% home fees covered, and a minimum tax-free annual living allowance of £21,805 (2026-27 UKRI rates). Overview Artificial Intelligence (AI)-driven decision engines are increasingly
-
within its host, and the molecular and physiological interactions that underpin this unique symbiosis. By combining experimental approaches across engineering biology, the project will provide new insights
-
biology, AI guided protein engineering and chemical analysis, you will establish the molecular basis of REE binding and discrimination in naturally evolved lanthanophores, establishing the ‘rules’ of REE
-
a key challenge in sustainable process engineering: translating microbial electrolysis cell (MEC) technology from lab-scale innovation to robust, industrial deployment. The research will sit at
-
Phd Studentship in Computer Science: Empirical Security Assessment of AI Decision Engines in Cyber-Physical Systems Award Summary 100% home fees covered, and a minimum tax-free annual living
-
that extend beyond current capabilities. Potential targets include queues, deques, priority structures, linked structures, and new DNA-native information architectures capable of operating in vitro or in living
-
decisions. The project is funded by Eni S.p.A through the UK Energy Futures (https://ukenergyfutures.org ). research partnership, bringing together geoscientists, engineers, and social scientists to advance
-
will Gain World-class training in stem-cell differentiation, retinal organoid engineering, vascular biology, and advanced imaging/omics.nei.nih+1 Transnational mobility and secondments across the Pandora
-
2026 Sponsor UKRI – Imago, SDR UK Imagery Data Service Supervisors Dr Maria Valasia Peppa, https://www.ncl.ac.uk/engineering/staff/profile/maria-valasiapeppa.html Dr Vasilis Glenis, https://www.ncl.ac.uk
-
Date 15th October 2026 Sponsor British Heart Foundation (https://www.bhf.org.uk/ ) Supervisors Dr Simon Bamforth https://www.ncl.ac.uk/medical-sciences/people/profile/simonbamforth.html Dr Helen Phillips