Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Loughborough University;
- Newcastle University
- University of Surrey
- University of Nottingham
- The University of Manchester
- University of Cambridge;
- University of Exeter
- University of Sheffield
- University of Warwick
- ;
- Cranfield University
- University of Manchester
- City St George’s, University of London;
- Edge Hill University
- Harper Adams University
- King's College London
- King's College London;
- Newcastle University;
- Northeastern University London
- RMIT UNIVERSITY
- The University of Edinburgh
- University of Birmingham
- University of Bristol
- University of East Anglia
- University of Essex;
- University of Lancashire
- University of Newcastle
- University of Plymouth
- 18 more »
- « less
-
Field
-
generic compression tools exist, they often fail to fully exploit the specific redundancies found in 3D tomographic data. You will exploit your signal processing knowledge with statistical mathematical
-
complex physical systems to perform tasks such as prediction, classification, and signal processing. However, one major challenge remains: We still do not fully understand what makes a reservoir computing
-
: · Working knowledge of MATLAB/Python and signal processing · Basic understanding of electromagnetics · Experience with CAD and mechanical design How to apply: Interested candidates should contact Dr Hungyen
-
of energy and computational power. Reservoir computing offers a promising alternative by using complex physical systems to perform tasks such as prediction, classification, and signal processing. However, one
-
dynamics and vibration engineering - encompassing finite element modelling of floor systems, dynamic testing, modal analysis, signal processing, and familiarity with serviceability standards across steel
-
training programme at the start of the PhD to develop skills in areas such as programming, data analysis, machine learning and signal processing. This will provide the technical foundation required to work
-
provide limited supervision and instruction to PhD and Master's students. Build and maintain internal and external contacts and participate in research networks to exchange information and support future
-
“Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have
-
, Mathematics, Robotics, or a related discipline. A strong interest in one or more of the following areas: AI and machine learning, computer vision, signal processing, sensing, robotics, or embedded systems
-
A new approach to minimum colour vision requirements and optimum use of colour signals within Network Rail City St George’s, University of London – School of Health & Medical Sciences Supervisors