Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- ; Newcastle University
- ; The University of Manchester
- Cranfield University
- ; University of Reading
- Newcastle University
- ; Cranfield University
- ; University of Leeds
- ; University of Sheffield
- ; Loughborough University
- ; Manchester Metropolitan University
- ; Oxford Brookes University
- ; University of Exeter
- ; University of Warwick
- Harper Adams University
- University of Cambridge
- ; Aston University
- ; Austrian Academy of Sciences
- ; Queen's University Belfast
- ; University of Birmingham
- ; University of Cambridge
- ; University of East Anglia
- ; University of Hertfordshire
- ; University of Oxford
- ; University of Portsmouth
- ; University of Southampton
- ; University of Surrey
- University of Sheffield
- 18 more »
- « less
-
Field
-
that have been developed in-house based on the OSIRIS Particle-In-Cell simulation software. The code needs to be verified and further developed with user cases against experimentally gathered data sets
-
vulnerabilities like side-channel attacks and unauthorized access, which can compromise system integrity. Developing robust security measures within AI-enabled electronics is essential for applications in defence
-
and linear steep sided cut channels, which can restrict creek development and negatively impact site functioning. This project will use remote sensing, geophysical surveying and sedimentological
-
channel fidelity. Several of the targeted 6G frequency bands are even being considered for extremely high frequency bands such as the W-band (75–110 GHz) and the D-band (110–170 GHz). In order to achieve
-
regulations and standards throughout the system's lifecycle. Secure Communication Monitoring: Integrate AI techniques to monitor and enhance the security of communication channels, focusing on detecting and
-
(3.5 years). Project Description Computing systems today face increasing security threats, including zero-day vulnerabilities, side-channel attacks, and firmware exploits across multiple layers
-
we study, work, and think. Models such as ChatGPT have the potential to free individuals from the intricate and labour-intensive processes involved in writing and coding. Developing system software
-
sediment characteristics and channel geomorphology. Previous experience of the laboratory analysis of water quality and river sediments. Ability, and the connections, to liaise with landowners conservation
-
to improve our understanding of how flood risk changes due to zones of increased channel adjustment, by building on existing datasets and projects (e.g. Environment Agency’s Channel Sensitivity Project, 2021
-
, nanofabrication, and computational electromagnetism. Strong coding (Python /MATLAB) and experimental aptitude is desirable.