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We have 28 physics informed PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
physics informed PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
We have 28 physics informed PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
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Physics Informed Machine Learning for Gas Solids Multi-Phase Flow Characterisation
Project Reference Number. Please refer to project number SCEBE-21SF-PIML -McGlinchey. Background. Read more
Enhancing ultrasound images using physics-based AI for accurate measurement of blood velocity within the heart
Cardiovascular diseases are the leading cause of death globally with 18 million deaths/year. Ultrasound is an inexpensive, non-invasive imaging technique without ionising radiation and so is widely used in many fields of medicine. Read more
Physics-informed transfer learning for engineering asset management
Overview. This research aims to develop a physics-informed transfer learning model for engineering asset management, by effectively incorporating domain knowledge of experts/engineers into the machine learning model to improve its explainability. Read more
Fully-funded PhD by Research Studentship in Advanced Neutron-Counting Algorithms
This PhD project is a joint collaboration between Lancaster University and Mirion Technologies. The nuclear engineering group at Lancaster have broad… Read more
Physics-Informed Machine Learning for Behavioural Analysis of SiC/SiC Materials in Fusion Nuclear Reactors
In collaboration with the UK Atomic Energy Authority (UKAEA), this project aims to leverage the transformative potential of machine learning to unravel the operational behaviour of Silicon Carbide/Silicon Carbide (SiC/SiC) materials. Read more
Physically-informed learning-based beamforming for multi-transducer ultrasound imaging
Aim of the PhD Project. Pursue sparse solutions to handle the channel count required to coherently operate multiple ultrasound transducer and design and implement machine learning strategies to avoid the sparsity-related artefacts in the images. Read more
Emergent leadership by well-informed individuals in self-organising groups
Background. Groups of molecules, cells and organisms often display sophisticated collective properties whose complexity far exceeds the capacity of the individual units. Read more
Last chance to apply
(EPSRC DTP) Developing MRI acquisition and modelling to measure water exchange processes in the brain
Magnetic resonance imaging (MRI) is a non-invasive imaging modality that can produce exquisite images of the brain. Read more
Data-informed modelling of aerosol resuspension under aerodynamic loads
Applications are invited for a 4 year PhD studentship starting in September 2023 as part of the. EPSRC CDT in Aerosol Science. PhD project context. Read more
Star Formation Triggered by Colliding Interstellar Clouds
Research Group:
Cardiff Hub for Astrophysics Research and Technology
CONTEXT. Much of the interstellar gas in a galaxy like the Milky Way is in dense molecular clouds. When these clouds enter a spiral arm, they merge to form larger clouds, and are compressed to higher densities. Read more
The formation and evolution of star-forming filaments
Research Group:
Cardiff Hub for Astrophysics Research and Technology
CONTEXT. Filaments play a critical role in star formation. Read more
Negative capacitance in boracites: a structure-properties study
Boracites are a family of crystals of chemical formula M3B7O13X, with a structure composed of a framework of boron-oxygen tetrahedra, within which M and X ions are intercalated. Read more
Machine Learning models for subgrid scales in turbulent reacting flows
Supervisory Team. Temistocle Grenga, Ed Richardson. Project description. Read more
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