PhD/MPhil in Predicting Recovery in Acute Ischaemic Stroke Using Machine Learning (PRISM) University of Cambridge in United Kingdom

PhD opportunity at the University of Cambridge in the Department of Clinical Neurosciences on Mitochondrial Genetic Determinants of Multiple Sclerosis . This project investigates how mitochondrial genetic variants influence the outcome of multiple sclerosis (MS) . The research builds on prior genome-wide association studies (GWAS) that have identified more than 200 autosomal variants associated with MS, while extending the analysis to the mitochondrial genome. Using a dedicated mitochondrial var...

Funded PhD opportunity in Computer Science at the University of Exeter on simulating person-specific cognitive processes from expressive behaviours for mental health assessment . The project sits at the intersection of artificial intelligence , machine learning , affective computing , computational psychology , multimodal signal processing , and mental health . It aims to build personalised AI models that simulate latent cognitive processes from expressive behaviours such as facial expressions, ...

Centre for Doctoral Training in Artificial Intelligence for Biomedical Innovation PhD with Integrated Study at the University of Edinburgh (School of Informatics, College of Science and Engineering). This is a fully funded PhD programme in artificial intelligence , machine learning , and biomedical innovation , designed to train interdisciplinary researchers who can translate AI into real-world clinical, biomedical, and public health use. Research themes include AI for Genomic Medicine , AI for ...

PhD opportunity at the University of Southampton in artificial intelligence, machine learning, computer vision, and medical image analysis . The project, Artificial intelligence techniques for illness detection by using MRI , focuses on developing AI methods to detect hypoxic-ischaemic encephalopathy (HIE) in newborn babies by analysing MRI / Susceptibility Weighted Images (SWIs) . The aim is to identify brain injury earlier than the current clinical practice and to help clinicians target early ...

PhD opportunity at the University of Cambridge in the Department of Clinical Neurosciences on preventing multiple sclerosis using AI , machine learning , causal inference , and target-trial emulation . The project, supervised/led by Dr Will Brown and connected with the Cambridge Clinical MS Research Group , the Cambridge Centre for AI in Medicine , and The University of Bristol (Jonathan Sterne), will use OpenSAFELY longitudinal primary care data from around 58 million people in England to ident...