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44,293 grants found
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Can software tools enable improved configuration, operation and exploitation of distributed and intelligent sensors for marine industrial applications
The successful exploitation of ORE resources requires accurate resource characterisation on scales smaller than that of the extraction device. Conventional acoustic doppler profile...
More efficient deep learning for medical image analysis
Artificial intelligence in the form of deep learning, for instance using convolutional neural networks, has made a huge impact on medical image analysis. It dominates conference an...
Combinatorial and birational aspects of algebraic geometry
This project will look at the interactions between algebra and geometry. The initial focus will be on algebraic geometry, and its deep links with combinatorics and complex geometry...
Molecular Magnets
The Brechin group are synthetic inorganic chemists with interests in the areas of coordination chemistry and the magnetic applications of polymetallic complexes of transition metal...
Automated Generation and Inference of Unit Tests for Legacy Software
Researching many areas of software testing and ways in which these processes can made more efficient and viable for application to large-scale industry systems. Some areas of resea...
Augmenting clinical risk predictors through multi-omics
Risk profiling is at the heart of disease delay and prevention. At present, most disease risk prediction tools use self-report or clinical data, but it can likely be improved using...
Optical switching in ultra compact integrated photonic systems
"Optical switch for HAMR For HAMR, as well as the soon-to-be commercially launched on-wafer lasers (OWLs), it is important that the laser can be switched on quickly enough....
Low-coordinate main-group chemistry: Phosphorus and Borondoped aromatic compounds
This project will focus on the design, synthesis, reactivity and electronic properties of main-groupelement doped aromatic hydrocarbons. Our ambition is to generate fundamental und...
Wood fuel transitions and their impact on tropical ecosystems
What effect will changing demand for wood fuels have on the ecology of tropical forests and savannas?
Adaptive stepsize algorithms for Langevin dynamics
We discuss the design of an invariant measure-preserving transformation for the numerical treatment of Langevin dynamics based on a rescaling of time, with the goal of sampling fro...
Massive Star Formation
I would be interested in pursuing a project involving the physics of massive star formation. Currently, this area of star formation theory is not well understood. The two main form...
Predicting the fate and migration of CO2 in CCS reservoir overburden
You will develop a numerical model for simulating subsurface gas flow and transport. You will then use this model to better understand the fate of sequestered CO2 that has migrated...
Developing Artificial Intelligence Approaches to Predicting Progressive Myopia and Risk of Myopic Complications Based on Optometry Data
Worldwide, uncorrected refractive error is the leading cause of visual impairment, affecting 116.3 million people. Myopia (short-sightedness) is the most common disorder, and its p...
Elemental analysis and structural characterisation of Li-containing ore materials using advanced muon and neutron techniques
The rapidly increasing demand for Li-ion batteries to power portable consumer electronics, electric vehicles and large power storage facilities has led to the EU classing Li as a c...
Homotopical and higher categorical structures
This project concerns homotopical and higher categorical structures. These appear in topology, arithmetic geometry, mathematical physics, and representation theory. As these subjec...
An Unbiased View of the Physical Drivers of Star Formation over Cosmic Time
The most fundamental measurements for galaxy evolution studies are the evolution of the cosmic star-formation rate density as a function of cosmic time and the distribution of the...
Nacelle accelerations of floating offshore wind from tank testing
The project aims to explore how tank testing outcomes can be applied to associated design problems, for example, evaluate the impacts of dynamic motion of FOWTs - induced by combi...
Reinforcement Learning in Multi-agent Systems for Quantative Finance
PhD project focuses on learning in multi-agent systems within financial contexts. One approach to this problem uses game theory to analyze equilibrium points in multi-agent setups....
Frequency-domain analysis of IMU data for knee movement disorders following TKA
Enmovi Ltd is affiliated to the established OrthoSensor Inc., a company whose broad aim is to quantify orthopaedics through sensor-assisted technology. Both have recently been take...
Boltzmann machine, Contrastive Divergence and Information Geometry
The restricted Boltzmann machine (RBM) can be regarded as a generative neural network with extensive successful applications in unsupervised learning. Al- though the contrastive di...