Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- Cranfield University
- ; The University of Manchester
- University of Nottingham
- ; Swansea University
- ; The University of Edinburgh
- ; Manchester Metropolitan University
- ; Newcastle University
- ; University of Birmingham
- ; University of Cambridge
- ; University of Leeds
- ; University of Nottingham
- ; University of Warwick
- ; Aston University
- ; Brunel University London
- ; Cranfield University
- ; Loughborough University
- ; UWE, Bristol
- ; University of Bradford
- ; University of Bristol
- ; University of Copenhagen
- ; University of East Anglia
- ; University of Essex
- ; University of Exeter
- ; University of Oxford
- ; University of Reading
- ; University of Sheffield
- ; University of Southampton
- ; University of Surrey
- ; University of York
- Abertay University
- Harper Adams University
- Newcastle University
- UNIVERSITY OF VIENNA
- University of Cambridge
- 25 more »
- « less
-
Field
-
of diagnostic and prognostic algorithms. Electronic Prognostics Systems: Facilities equipped to assess the health and predict the remaining useful life of electronic components, supporting studies in electronic
-
from motion blur, defocus, and imaging artefacts, which hinder accurate diagnosis. This project aims to restore image clarity by designing intelligent algorithms that recover fine anatomical details
-
persists, even for the most powerful sensors operating in this way. A drastic departure from this sensing architecture is “multistatic” radar – enacted by a coherent network of spatially distributed sensors
-
and misalignment, facilitating the development and validation of diagnostic and prognostic algorithms. Electronic Prognostics Systems: Facilities equipped to assess the health and predict the remaining
-
outcomes. By mapping these gene distributions and integrating them into a predictive tool, the project seeks to stratify patients as likely responders or non-responders to chemotherapy, enabling personalised
-
Project summary: A transition to net zero is desirable overall, but its costs and benefits are unevenly distributed across time, space, and between individuals, and policy to implement it must be
-
mapping using a team of highly mobile legged or legged-wheeled robotic platforms. The research will investigate advanced algorithms for multi-robot coordination, dynamic path optimization, and collaborative
-
autonomous by embedding machine learning algorithms to search through different reaction parameters Person Specification Candidates should have been awarded, or expect to achieve, EITHER: A Bachelors degree in
-
photorealistic game worlds. To achieve this goal, we need advances in many areas, from light transport, sampling, geometry and material representations, and computationally efficient algorithms to display
-
subsurface and internal temperature distributions. Semi-destructive approaches, such as embedding thermocouples by drilling holes, can provide internal data but often disrupt the process, alter the thermal