Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Newcastle University
- Cranfield University
- Loughborough University;
- Loughborough University
- University of Exeter;
- ;
- AALTO UNIVERSITY
- The University of Edinburgh
- UCL
- The University of Edinburgh;
- The University of Manchester
- University of Birmingham
- University of East Anglia;
- University of Exeter
- University of Manchester
- Abertay University
- City St George’s, University of London
- Coventry University Group;
- Cranfield University;
- Newcastle University;
- Oxford Brookes University
- Royal College of Art;
- UNIVERSITY OF VIENNA
- University of Birmingham;
- University of Cambridge;
- University of Newcastle
- University of Strathclyde;
- 17 more »
- « less
-
Field
-
of architecture standards and inform training and development of the systems modellers of the future. Programme and Location: The Engineering Doctorate Researcher will follow the EngD in Model-Based Systems
-
, excellent chemical resistance, and tuneable microstructure. Combined with the design freedom of 3D printing, we have the opportunity to design new membranes whose microstructure and macro-architecture work
-
how best to balance competing objectives. We will also investigate architectural design strategies that implicitly encourage constraint adherence, such as averaging features across satellites. In
-
will also be provided. Overview This project will develop an adaptable Machine Learning (ML) hardware architecture to solve Artificial Intelligence (AI) classification tasks using Internet of Things (IoT
-
an adaptable Machine Learning (ML) hardware architecture to solve Artificial Intelligence (AI) classification tasks using Internet of Things (IoT) sensor data. This will be a small system-on-chip designed
-
Almost all radar systems currently transmit from the same location. A drastic departure from this sensing architecture is distributed radar – enacted by a coherent network of spatially distributed
-
healthcare settings. Approach and Methods: Synthesize gold nanostars with optimised optical and surface properties for enhanced plasmonic signal amplification Engineer LFA architectures incorporating salt
-
prevalent noncommunicable disease globally. The confined and complex architecture of the oral cavity, particularly in regions such as dentinal tubules and root canals, makes effective antimicrobial treatment
-
4 Nov 2025 Job Information Organisation/Company The University of Manchester Department Computer Science Research Field Computer science » Computer systems Researcher Profile First Stage Researcher
-
. By integrating artificial intelligence (AI), multi-sensor fusion, and cognitive systems, the research will pioneer robust navigation architectures. These improvements are key to making future transport