Sort by
Refine Your Search
-
of their machines is maximised, or machine downtime is minimised. The aim is to develop a smart sensor prototype and demonstrator for condition monitoring of low-speed bearings. The following objectives are defined
-
publication-oriented, allowing you to build a strong academic and professional track record in energy-efficient and secure AI hardware innovation. By the end of this PhD, candidates will possess advanced
-
operation and the Centre has grown into other sectors (rail, energy, health and agriculture), and is financially self-sustaining; many of the partners (and others) are funding Applied Research projects and
-
through advanced modelling and simulation. A key objective is to validate and optimize poroelastic finite element models of brain tissue, making them more accurate and clinically relevant. Additionally
-
to industrial clients such as Boeing, BAE Systems, Rolls-Royce, Meggitt, Thales, MOD, Bombardier, QinetiQ, Thales, Network Rail, Schlumberger and Alstom. Entry requirements Applicants should have a first or
-
hydrogen pumping system. Regenerative pumps are not currently used for pumping volatile cryogenic fluids such as liquid hydrogen. The objective of this project would be to develop a structured design
-
are expected to include: •Robust and “functionally explainable” machine-aided decision support for Safety and Mission Critical objectives e.g. fault detection/tracing, evasive manoeuvring, target selection etc
-
from EPSRC. The investment, over the first 5 years of operation, was approaching £10M. We are now in our eighth year of operation and the Centre has grown into other sectors (rail, energy, health and
-
Centre is providing its state of the art academic and research services to industrial clients such as Boeing, BAE Systems, Rolls-Royce, Meggitt, Thales, MOD, Bombardier, QinetiQ, Thales, Network Rail
-
to industrial clients such as Boeing, BAE Systems, Rolls-Royce, Meggitt, Thales, MOD, Bombardier, QinetiQ, Thales, Network Rail, Schlumberger and Alstom.