Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- CNRS
- DAAD
- Technical University of Denmark
- Monash University
- Leibniz
- Technical University of Munich
- Cranfield University
- Curtin University
- Swinburne University of Technology
- ; University of Birmingham
- Eindhoven University of Technology (TU/e)
- Ghent University
- University of Nottingham
- ;
- Forschungszentrum Jülich
- University of Cambridge
- VIB
- Delft University of Technology (TU Delft); Delft
- Linköping University
- University of Groningen
- ; City St George’s, University of London
- Duke University
- Fraunhofer-Gesellschaft
- Leiden University
- The University of Iowa
- Umeå University
- University of Antwerp
- University of Luxembourg
- University of Oslo
- ; The University of Manchester
- CWI
- Canadian Association for Neuroscience
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e); Eindhoven
- Georgetown University
- Hannover Medical School •
- Humboldt-Stiftung Foundation
- La Trobe University
- McGill University
- Queensland University of Technology
- University of Adelaide
- University of Pittsburgh
- University of Sheffield
- University of Southern Denmark
- University of Twente
- University of Twente (UT)
- University of Utah
- Uppsala universitet
- Utrecht University
- ; Swansea University
- Baylor College of Medicine
- Durham University;
- Erasmus MC (University Medical Center Rotterdam)
- Erasmus MC (University Medical Center Rotterdam); Rotterdam
- Flinders University
- Heidelberg University
- Jagiellonian University
- KINGS COLLEGE LONDON
- KNAW
- Leiden University; Leiden
- Ludwig-Maximilians-Universität München •
- Lulea University of Technology
- Maastricht University (UM); Maastricht
- Max Planck Institute for Extraterrestrial Physics, Garching
- NTNU - Norwegian University of Science and Technology
- Radboud University
- SciLifeLab
- The University of Manchester
- UCL
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of Basel
- University of California, Los Angeles
- University of Maryland, Baltimore
- University of Twente (UT); Enschede
- University of Washington
- Universität Hamburg •
- Université Laval
- Zürcher Hochschule für Angewandte Wissenschaft ZHAW
- ; Newcastle University
- ; St George's, University of London
- ; UWE, Bristol
- ; University of Cambridge
- ; University of Exeter
- ; University of Nottingham
- ; University of Oxford
- ; University of Surrey
- ; University of Warwick
- Aalborg University
- AcademicTransfer
- Agricultural university - Plovdiv, Bulgaria
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Ariel University
- Arts et Métiers Institute of Technology (ENSAM)
- Austrian Academy of Sciences, The Human Resource Department
- BCBL BASQUE CENTER ON COGNITION BRAIN AND LANGUAGE
- Bangor University
- Brno University of Technology
- Brookhaven Lab
- 90 more »
- « less
-
Field
-
The Department of Medical Imaging is one of the most active research departments of the Radboudumc. More than 100 researchers are continuously striving to optimize healthcare. Close cooperation
-
equipment, particularly in imaging and electron microscopy, image analysis, and bioinformatics. The team is composed of five people. The thesis will be carried out as part of a collaborative ANR project
-
chip prototype, improving performance and durability in automotive applications. Specifically, this PhD project focuses on memristive materials as electronic realizations of the hysteron concept
-
to advance 3D imaging methods for neuroscience. Your colleagues: An interdisciplinary team working across the Cognitive Neuroscience Department and the Mental Health and Neuroscience Research Institute
-
heterogeneity; namely non-iid and domain shift, e.g. multi-modal data acquired by different scanners and imaging protocols. Publish and present scientific results at international conferences and high-impact
-
: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong knowledge in Machine/Deep Learning with experience in discriminative models
-
that has been generated in a prior laboratory-setting project. Specifically, we will integrate recent advances in artificial intelligence-based automated interpretation of medical images, and new knowledge
-
team of experienced researchers in imaging, machine learning, oncology, and pathology. We do not discriminate on the basis of sex, gender, belief, culture, place of birth or occupational impairment when
-
influence helps detect labeling errors or prioritize unlabeled images, optimizing the learning algorithm and service quality. The doctoral student will carry out their work at IMAG (UMR of Mathematics) and
-
fibrosis; transcriptomic and imaging approaches (RNA-seq), high-content imaging (ImageStream), and metabolic profiling (Seahorse); recombinant protein engineering; structural biology techniques: X-ray