28 postdoctoral-image-processing-in-computer-science PhD positions at The University of Manchester
Sort by
Refine Your Search
-
Research theme: "Next Generation Wireless Networks", "Signal Processing", "Machine Learning" UK only How to apply: uom.link/pgr-apply-2425 This PhD project aims to design novel resource allocation
-
expect the stipend to increase each year. We recommend that you apply early as the advert may be removed before the deadline. All modern biotechnology, basic cell biology research and many advanced
-
-treatment facilities, and biorefineries. Feedstock choice, regional dynamics, and process side-streams all affect costs, energy use, and emissions. This PhD project will develop advanced computational models
-
of sustainable coating solutions that support the transition to hydrogen-powered and additively manufactured gas turbine systems. If you have any questions about the application process, please contact
-
farms at relatively close proximity can be relevant when considering their annual energy production. This project will examine the uncertainty of various types of numerical models, from fast-computing
-
for over a century, the fundamental physio-chemical processes governing tree initiation and propagation remain inadequately understood, representing a significant scientific and engineering challenge
-
operation and stability limits. Models will be developed and different configurations will be compared. The successful candidate will have the opportunity to interact with GE Vernova’s engineering staff and
-
energy? This PhD offers a rewarding chance to become a materials science expert, combining cutting-edge characterisation with real-world industrial impact. At the University of Manchester, working in
-
-free stipend based on the UKVI amount (£20,780 for 2025-26). We expect the stipend to increase each year. This studentship is related to a multi-institutional EPSRC Programme Grant “AMFaces: Advanced
-
Engineering, Computer Science or related disciplines. Experience in autonomous system, manufacturing/robotics and machine vision development will be an advantage. To apply please contact the supervisor, Dr Kun