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We have 31 Machine Learning PhD Projects, Programmes & Scholarships in Manchester
Machine Learning PhD Projects, Programmes & Scholarships in Manchester
We have 31 Machine Learning PhD Projects, Programmes & Scholarships in Manchester
Continual Learning and Its Applications
Continual learning (often termed as lifelong learning) is the process through which a learning system efficiently learns multiple tasks in succession, which is an essential requirement for Artificial General Intelligence (AGI). Read more
Segmentation of Agricultural Operations by Machine Learning
Machine Learning has been found successful for various real-life applications including medical, finance, autonomous cars, text recognitions, and many others. Read more
Controlled Synthesis of Virtual Patient Populations with Multimodal Representation Learning
This project invites PhD candidates who are interested in developing generative models that can deal with complex multimodal patient data, contributing to safer, better and faster innovations of medical products via in-silico trials. Read more
Machine Learning with Bio-Inspired Neural Networks
This research will investigate machine learning using biologically inspired spiking neural networks. While much is known about how to train deep artificial neural networks, relatively little is understood about how the brain learns and processes information using electrical pulses known as 'spikes'. Read more
Connections between Numerical Analysis of Differential Equations and Machine Learning
Up to two funded PhD projects are available in the Department of Mathematics at the University of Manchester on Connections between Numerical Analysis of Differential Equations and Machine Learning. Read more
Collaborative probabilistic machine learning
We develop probabilistic machine learning methods for helping other agents make better decisions, ultimately human agents in ongoing applications in science and engineering. Read more
Interpretable machine learning to identify biomarkers from multi-omics data of human cancer
This project aims to address the critical field of cancer research, a leading cause of death globally. Read more
Understanding the evolution of gene regulatory networks through biophysical modelling and machine learning
The ability to coordinate the expression of genes within a cell is at the heart of life. When and how much of a specific gene is turned into a protein is essential for organisms to respond to their environment and to manage resources. Read more
Building a comprehensive, climate-conditioned, environmental modelling system using Artificial Intelligence and Machine Learning.
This project will. · Address several pressing environmental challenges by using expertise in computational and environmental modelling, data analysis, Artificial Intelligence and Machine Learning. Read more
Application of machine learning algorithms to medical images and clinical/DNA data
This project will develop an automated classifier or the estimation of prognosis of the illness using medical images of the human body, clinical data, and gene information. Read more
Investigating brain connectivity in Parkinson’s disease using multimodal neuroimaging and deep learning techniques
This project provides an annual stipend of £19,237. Project advert. Read more
Using Natural Language Processing and molecular simulations to build polymer databases
A fully funded PhD position in multiscale modelling of polymer composites is available in the group of Professor Carbone at the University of Manchester from October 2024. Read more
Novel diagnostics to assess the impact of turbulent flow in cardiovascular disease
Cardiovascular disease is the leading cause of death worldwide. Recently, turbulence in blood flow has been linked with cardiovascular disease progression, however the underlying turbulence-related mechanisms are not well understood. Read more
Using AI and machine learning techniques to enhance the network traffic for a smart city
As urban populations continue to grow, cities face increasing challenges in managing network traffic, including congestion, resource allocation, and infrastructure maintenance. Read more
Bio-Inspired Sensor Fusion
Sensor fusion, i.e. the process of combining data produced by different sensor streams and types observing the same environment simultaneously, has thrived in recent years. Read more