Postdoc Position in Epilepsy Prediction with iEEG, Rodent Data, and Foundation Models University of Göttingen in Germany

PhD opportunity in Medicine, Biology, and Neuroscience at the Cécile and Oskar Vogt Institute of Brain Research , Heinrich Heine University Düsseldorf . The project is offered through the Hector Fellow Academy and is supervised by Prof. Katrin Amunts , a leading expert in human brain atlas development. The research focuses on human brain mapping , cytoarchitectonics , the Julich-Brain Atlas , foundation models , and deep learning . The goal is to achieve full-coverage cytoarchitectonic mapping a...

PhD Candidate (f/m/x) in Ophthalmic Epidemiology at the German Center for Neurodegenerative Diseases (DZNE) in Bonn, Germany . This doctoral project is embedded in the population-based Rhineland Study and focuses on age-related macular degeneration , retinal ageing, and the integration of multi-omics with eye imaging data. The work includes integrative analyses, ophthalmic data collection and processing, omics data processing, statistical analysis, manuscript preparation, conference presentation...

PhD opportunity in liquid biomarkers for leukodystrophies within the POLARIS doctoral network , a European Marie Skłodowska-Curie Doctoral Network focused on accelerating therapy development for rare genetic white-matter disorders. The project is based in Tübingen, Germany , with academic enrolment through the Eberhard Karls University of Tübingen . The research combines multi-omics analysis of patient plasma and iPSC-derived human disease models to identify and validate minimally invasive bioma...

Postdoctoral Research Associate in Statistics, Deep Learning, and Neuroimaging at Texas A&M University This postdoctoral opening is in the Department of Statistics at Texas A&M University in College Station, Texas, United States . The project focuses on deep learning , multi-object data integration , federated learning , high-dimensional dependent data , and data sketching for massive data. The successful candidate will develop statistical and machine learning methodology for multi-modal imaging...

PhD/MPhil opportunity at the University of Cambridge in Predicting Recovery in acute Ischaemic Stroke using Machine learning (PRISM) . This project is based in the Department of Clinical Neurosciences and supervised by Dr Smriti Agarwal . It focuses on acute ischaemic stroke , neurology , neuroscience , and machine learning , with an emphasis on improving treatment selection and outcome prediction using multimodal clinical and imaging data. The research combines demographic and clinical informat...