13 linked-data-"https:"-"https:"-"https:"-"https:" PhD positions at The University of Manchester
Sort by
Refine Your Search
-
framework for underlying structures in high dimension such as underlying covariance structure, conditional dependency graphs etc. With the change in data-generating mechanism, these high-dimensional
-
that you apply early as the advert may be removed before the deadline. The project is an exciting opportunity to undertake industrially linked research in partnership with Rolls-Royce (RR) at the RR
-
linked research in partnership with Rolls-Royce (RR) at the RR University Technology Centre (UTC) in Electrical Systems at University of Manchester(UoM). The UTC researches a wide range of underpinning
-
minewater systems, with additional model development and customisation undertaken in MATLAB or Python to extend capabilities and explore sensitivity analyses. Experimental data from controlled experiments
-
(LCA). Analysis will be situated within the UK context, engaging with future energy scenarios and NDA waste inventory projections. Outputs will include optimisation frameworks linking TES specification
-
of predictive models that link microstructure to performance, guiding the design of alloys that are stronger, more reliable, and more efficient. By doing so, you will play a key role in advancing hydrogen turbine
-
scanning and measurement, garment fit evaluation, cloth simulation, digital twins, wearable sensing, smart textiles, and AI methods for clothing and body data analysis, to name a few. Applicants from
-
scanning and measurement, garment fit evaluation, cloth simulation, digital twins, wearable sensing, smart textiles, and AI methods for clothing and body data analysis, to name a few. Applicants from
-
framework for MR image super resolution using high fidelity CFD data. Validate the software using MRI scans of arterial flow phantoms. Collaborate directly with clinicians to maximise the translational and
-
simulation results with experimental data. This project will integrate advanced AI techniques, including machine learning for parameter optimisation (e.g., Bayesian optimisation, reinforcement learning), AI