PhD in Integrated Breast Cancer Imaging System with X-ray Tomosynthesis and Ultrasound Radboud University Medical Center in Netherlands

PhD opportunity at Centrum Wiskunde & Informatica (CWI), Amsterdam in inverse problems for wave-based imaging , with a strong emphasis on mathematics , partial differential equations , numerical methods , and scientific computing . The project sits in the Computational Imaging group at CWI and focuses on developing a new mathematical and computational framework for imaging from wave measurements. The research combines PDE-based modelling with data-driven reduced-order modelling to improve robust...

PhD opportunity at the University of Alberta in the Department of Radiology and Diagnostic Imaging for research on artificial intelligence in PET imaging and medical image analysis . The project is aimed at quantitative PET imaging, with a strong emphasis on computational and data-driven methods relevant to medical physics and imaging science. The post is especially suitable for applicants with backgrounds in medical physics , biomedical engineering , computer science , physics , mathematics , o...

PhD position at Eindhoven University of Technology (TU/e), Netherlands in contrast ultrasound imaging of nanobubbles for cancer diagnostics . This project is part of MOMENTUM , an NWO-funded Open Technology Programme project focused on developing nanobubble-enhanced ultrasound imaging for prostate cancer diagnostics. The research aims to replace invasive biopsies with smarter, noninvasive imaging by designing pharmacokinetic models , spatiotemporal models , and signal analysis methods that conve...

University of Groningen is advertising a PhD position in Systems and Control Theory for Energy-Based Learning in the Netherlands . The project sits at the intersection of systems and control theory , circuit theory , optimization , machine learning , and neuromorphic computing , with a strong emphasis on mathematical foundations for energy-efficient computing. The PhD candidate will develop theory and algorithms for learning in analog circuits and dissipative networks. The research aims to model...

PhD opportunity at ARCNL, Netherlands in physics-informed machine learning for semiconductor metrology . This project asks how machine learning and physics can be combined to recover nanoscale information from imperfect images. The research focuses on computational physics , inverse problems , scientific computing , and mathematical modeling , with a strong application to measuring nanometer-scale structures in modern computer chips. You will develop a novel physics-informed ML approach that int...