Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Curtin University
- Nature Careers
- Swinburne University of Technology
- Technical University of Denmark
- ;
- Cranfield University
- Technical University of Munich
- Chalmers University of Technology
- ; Swansea University
- ; The University of Manchester
- Hannover Medical School •
- Leibniz
- NTNU - Norwegian University of Science and Technology
- University of Antwerp
- University of Groningen
- ; City St George’s, University of London
- ; University of Birmingham
- ; University of Warwick
- CWI
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Ghent University
- KNAW
- Linköping University
- Lulea University of Technology
- SciLifeLab
- University of Luxembourg
- University of Oslo
- University of Southern Denmark
- VIB
- ; Cranfield University
- ; Durham University
- ; UCL
- ; University of Leeds
- ; University of Oxford
- ; University of Reading
- Ariel University
- DAAD
- Deutsches Elektronen-Synchrotron DESY •
- Dresden University of Technology •
- Ecole Polytechnique Federale de Lausanne
- Institut Pasteur
- Karlsruhe Institute of Technology •
- La Trobe University
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Sustainable Materials •
- Monash University
- National Research Council Canada
- Queensland University of Technology
- Radboud University
- The University of Newcastle
- Umeå University
- University of Adelaide
- University of Alaska
- University of British Columbia
- University of Copenhagen
- University of Nottingham
- University of Stuttgart •
- University of Twente
- University of Tübingen •
- Utrecht University
- Vrije Universiteit Brussel
- Wageningen University and Research Center
- Østfold University College
- 55 more »
- « less
-
Field
-
and toolsets for engineering measurements relevant to clinical settings. The project will be supervised by experts in DIC (Hari Arora), surgery (Iain Whitaker) and wider biomaterials imaging research
-
is expected to soon be able to diagnose diseases occurring outside the retina. OCT images can be aberrated by the eye itself and imperfect optical design. Ocular imaging with adaptive optics promises
-
scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available to UK (Home) candidates only. Fully-supervised AI techniques have shown remarkable success in
-
engineering, microscopy, and chemical biology to investigate neuroimmune interactions and mechanisms underlying neurodegeneration, both through in vitro studies and in the context of neurological diseases. We
-
Funding for: UK/Home Students We invite applications for a fully funded PhD research scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available
-
various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
-
focus will be on biomechanics, image processing, machine learning (ML), artificial intelligence (AI), and metrology, the student will also contribute to the co-design of cadaver experiments and data
-
image sequences. As a benchmark, end-to-end deep learning models will be developed using raw image data. In parallel, shallow learning models (e.g., Gaussian processes) will be explored based on insights
-
PhD candidates and researchers who work on enabling technologies (e.g., AI-based information conversion technology such as automated image/audio description). You will investigate the needs and wishes
-
Alex Leung (Mechanical Engineering at UCL) will also collaborate. he specialises in imaging of additive manufacturing and will support the project by assisting with the in-process monitoring. We expect