We have 109 learning disability PhD Projects, Programmes & Scholarships

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learning disability PhD Projects, Programmes & Scholarships

We have 109 learning disability PhD Projects, Programmes & Scholarships

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
Last chance to apply

PhD scholarship in Tensor Networks for Machine Learning – DTU Compute

Are you interested in developing novel machine learning methodologies that are scalable, reliable and explainable and that can address imminent challenges both within quantum physics and the life-sciences?. Read more

Improving health literacy for people with intellectual disabilities

Around 1.5 million people in the UK have a learning disability (internationally known as ‘intellectual disabilities’). They experience significantly worse mental and physical health outcomes compared to the general population and die on average 22 years earlier. Read more

Applying novel imaging methods and machine learning techniques to advance in-vivo knee biomechanics analysis

3 years full time start date July/October 2024. Project Summary. This is an opportunity to work on an exciting project focussed on machine learning applied to in-vivo knee biomechanics working with Cardiff University, Imperial College, Katholieke Universiteit Leuven and University of Florida. 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

(A*STAR Split-site) Generative Models for Deep Reinforcement Learning with applications to material discovery

The project investigates Generative Models, including Large Language Models (LLM) & diffusion models, and Deep Reinforcement Learning to support multi-modal, multi-task and multi-embodiment decision-making, and human-in-the-loop 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

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