Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; The University of Edinburgh
- ; University of Nottingham
- ; Cranfield University
- ; The University of Manchester
- ; University of Birmingham
- ; University of Cambridge
- University of Manchester
- ; London South Bank University
- ; Loughborough University
- ; Swansea University
- ; University of Bristol
- ; University of Exeter
- ; University of Greenwich
- ; University of Reading
- ; University of Sheffield
- ; University of Southampton
- ; University of Surrey
- ; University of Warwick
- Abertay University
- Newcastle University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- University of Cambridge
- 15 more »
- « less
-
Field
-
Although the development of systems architectures and models has been an established practice for many years, the assessment of the quality of models has relied on expert judgement with
-
computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
-
(i.e. red agents). However, due to a fragmented market, rapid technical developments, and nascent research the extent of capabilities and optimal solution architectures are not well understood. Current
-
The project: The deployment of generative AI—particularly Large Language Models (LLMs) based on transformer architectures—in industrial settings poses several critical challenges. Ensuring reliable
-
optimized for resource-constrained IoT edge devices, - And what role optimised computing architectures can play in executing these models efficiently. The project will be conducted in close
-
interoperability across complex assets and systems. The research will explore how common data architectures can be used to enhance semantic understanding and enable better decision-making across system-of-systems
-
investigate strategies to enhance communication security, focusing on resilience against jamming and spoofing attacks. Students will work on designing secure architectures that ensure data integrity and system
-
. The School of Architecture, Computing and Engineering (ACE) at the University of East London (UEL) is deeply embedded in London’s dynamic and diverse communities. Known for its innovative, impact-driven
-
samples lacking cellular and spatial resolution. The hypothesis underpinning this project is that obesity alters the cellular content, activation state and, critically, the spatial architecture
-
Fields: Open across ten schools covering disciplines such as Engineering, Construction, Computer Science, Law, Business, Arts and Creative Industries, Architecture, Health, and Education Duration: Standard