Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- ;
- University of Birmingham;
- University of Cambridge;
- Imperial College London
- Newcastle University;
- The University of Manchester;
- ; The University of Manchester
- Aston University
- Imperial College London;
- King's College London Department of Engineering
- The University of Edinburgh
- University of Bristol
- University of Cambridge
- University of Derby
- University of Manchester
- University of Newcastle
- University of Nottingham
- University of Oxford;
- University of Plymouth
- University of Reading;
- University of Sheffield
- University of Sussex;
- University of Warwick
- 14 more »
- « less
-
Field
-
This self-funded PhD opportunity sits at the intersection of several research domains: multi-modal positioning, navigation and timing (PNT) systems, AI-enhanced data analytics and signal processing
-
of: An R package for path-space rejection sampling for diffusion processes An R package for Bayesian Fusion pooling inference, such as privacy Bayesian Fusion and constraint Bayesian Fusion The position is
-
operation of autonomous systems in complex, real-world conditions. This PhD project aims to develop resilient Position, Navigation and Timing (PNT) systems for autonomous transport, addressing a critical
-
. Please note: while funding is available to cover this position, applicants are also welcome to apply for other scholarships during the application process. Eligibility We welcome applications from both UK
-
costs. Condition monitoring (CM) of rolling element bearings, hereafter called bearings, has been the main point of attention for many decades in the industry for maintenance. This is because bearings
-
deficiency anaemia. Studies in athletic populations indicate a positive response to oral iron supplementation, with ferritin levels increasing over 4 to 12 weeks when consuming ~100 mg/day. However, many
-
to have a proactive attitude towards problem solving independently. The student is expected that she/he has prior experience using machine learning tools before and be familiar with signal processing tools
-
electronics, embedded programming, signal processing, vibration measurement and analysis, maintenance engineering, and electro-mechanical engineering. Funding This is a self-funded PhD. Find out more about fees
-
our definition of the field. Application procedure Stage 1: You must submit your completed online programme application for a place on your chosen PhD programme by 1 December 2024. Your
-
The project: Motivation The development of hydrogen energy technologies is central to the UK government's ten-point plan for a green industrial revolution, targeting a 40% reduction in gas