Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- ;
- University of Cambridge
- AALTO UNIVERSITY
- University of Birmingham
- University of Birmingham;
- University of East Anglia
- University of Nottingham
- University of Warwick;
- ; University of Warwick
- Abertay University
- Imperial College London
- Loughborough University
- Newcastle University
- Swansea University;
- The University of Edinburgh
- The University of Edinburgh;
- The University of Manchester
- The University of Manchester;
- University of Bristol
- University of East Anglia;
- University of Newcastle
- University of Sheffield
- University of Sussex;
- 14 more »
- « less
-
Field
-
reach the limit of the electrical grid connections to their sites if the transition is not done in an optimal way, an issue that will be prominent in industrial, commercial and residential areas across
-
, determining optimal ways for groups of buildings to share resources and benefits. You will investigate and quantify trade-offs between individual objectives and collective outcomes, focusing on scalability
-
, scalability, and adaptability to various applications such as autonomous systems, IoT devices, and wearable technologies. Research Focus Areas: 1- Neuromorphic and AI-Optimized Processors: Design AI-specific
-
safety questions: Determining optimal stored energy requirements for grid support, considering various timescales and power ratings. Reviewing and benchmarking storage technologies (lithium-ion batteries
-
process. Address blind inverse problems by defining a network to learn distortion functions from data, informing the optimization in the learning process. Refine optimization and learning strategies
-
resource-constrained environments, and it is important to investigate whether features derived from different network layers can be effectively combined. Machine Learning Model Development & Optimization
-
optimal operating conditions and followed by surface analysis techniques (e.g. Scanning electron microscope, X-ray diffraction for residual stress measurements, Electron Back-Scattered Diffraction and
-
in a more accurate analysis of optimizing the service performance. Computer vision approaches such as ones for object identification and action recognition can help to automatically identify deviations