Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Sheffield
- The University of Manchester
- University of Exeter
- AALTO UNIVERSITY
- Imperial College London
- Newcastle University
- Cranfield University
- DURHAM UNIVERSITY
- Imperial College London;
- Nottingham Trent University
- Oxford Brookes University;
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF VIENNA
- Ulster University
- University of Birmingham
- University of Essex;
- University of Glasgow
- University of Leicester
- University of Newcastle
- University of Surrey
- University of Surrey;
- 11 more »
- « less
-
Field
-
the Unconventional Communications and Computing Laboratory (UC2), led by Dr Michael T. Barros, which develops modelling and algorithmic methods for networked communication and computation under real-world constraints
-
the following backgrounds and experience: - Full-stack Software Development - Distributed Systems - Hospital Information Systems and Healthcare Applications - Cybersecurity and Software Security - Network/System
-
distributed tasks such as inspection of a big geographic area for fires is an important objective of this project. The project aims are to: 1) provide methodological contributions towards intelligent sensing
-
is optimally placed to improve the overall defence performance of a distributed counter-drone capability. The use of a multistatic radar network can potentially provide a significant improvement in
-
. The department has strong groups in a range of areas including algorithms, data science, machine learning and AI, mobile and distributed systems, secure systems, software engineering, computing education research
-
. You will undertake significant research and development work in AI for time‑critical applications, leading on the design, implementation and evaluation of novel AI algorithms and pipelines
-
. This project seeks to advance energy autonomy by optimising power conversion, storage, and distribution in such systems, enabling broader adoption in real-world applications. The project aims to develop a PMC
-
flat-band and two-dimensional (2D) van der Waals materials), quantum software and algorithms, and quantum devices (including solid state qubits, quantum circuits, quantum nanomechanics). Appointed chairs
-
enabling precise and rapid identification of adulteration. Spectral techniques generate unique chemical fingerprints of food items, which machine learning algorithms analyse to detect inconsistencies and
-
flow are significantly increased across various new entities such as distributed energy sources. This will lead to additional information and communications requirements, as well as new information