Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Nottingham
- ;
- Cranfield University
- ; University of Birmingham
- ; Newcastle University
- ; Swansea University
- ; The University of Manchester
- ; University of Southampton
- ; University of Warwick
- Purdue University
- ; The University of Edinburgh
- ; University of Exeter
- ; University of Nottingham
- Brookhaven Lab
- Indiana University
- State University of New York University at Albany
- The University of Manchester
- University of Bristol
- University of Cambridge
- University of Exeter
- University of Houston
- University of Houston Central Campus
- University of New Hampshire – Main Campus
- University of Warwick;
- 14 more »
- « less
-
Field
-
Technology at the University of Nottingham. This project is in relation to the technical needs of Rolls-Royce to develop smart and robotic solutions to enable in-situ/on-wing repair and maintenance of gas
-
research, we utilize a variety of wearable devices including smartwatches, smart rings, and fitness trackers to measure additional variables of interest such as heart rate, heart rate variability, physical
-
for data analysis both locally and as part of the CMS computing Grid. The position offers exciting possibilities in the analysis of the new 13.6 TeV collision data towards quantum tomography of top quarks
-
analysis both locally and as part of the CMS computing Grid. The position offers exciting possibilities in the analysis of the new 13.6 TeV collision data towards quantum tomography of top quarks
-
systems safer, more efficient, and more sustainable. The aim of this project is to design a smart cognitive navigation framework that information from various sensors and learn to make decisions on its own
-
us to run large numerical simulations with billions grid points on mixed computer architectures including CPU and GPU machines. A current project is preparing the code set for the next generation of
-
machine learning are encouraged to apply. If you wish to discuss any details of the project informally, please contact Prof Suan Hui Pu, Smart Manufacturing and Systems Research Group, Email: suanhui.pu
-
Learning. (If you are more interested in conducting attacks rather than defences, refer to https://ieeexplore.ieee.org/document/10274102 ) 4. Federated Learning for Smart Home applications. (Reference