Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Forschungszentrum Jülich
- Nature Careers
- DAAD
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); yesterday published
- ETH Zürich
- Technical University of Munich
- CNRS
- Cranfield University
- Eindhoven University of Technology (TU/e)
- Technical University of Denmark
- University of Luxembourg
- University of Twente (UT)
- Arts et Métiers Institute of Technology (ENSAM)
- Curtin University
- Delft University of Technology (TU Delft); Delft
- KU LEUVEN
- La Trobe University
- Loughborough University
- NTNU - Norwegian University of Science and Technology
- University of Amsterdam (UvA)
- University of Southern Denmark
- Université Laval
- Uppsala universitet
- Utrecht University
- ;
- Aalborg University
- Academic Europe
- Agricultural university - Plovdiv, Bulgaria
- Amsterdam UMC
- Ariel University
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- COFAC
- Centre for Genomic Regulation
- Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy
- Delft University of Technology (TU Delft); 3 Oct ’25 published
- Deutsches Elektronen-Synchrotron DESY •
- Dublin City University
- Ecole Normale Supérieure
- Elestor BV
- Erasmus MC (University Medical Center Rotterdam)
- Erasmus MC (University Medical Center Rotterdam); Rotterdam
- FCT NOVA - UNIDEMI
- Fraunhofer-Gesellschaft
- GFZ Helmholtz-Zentrum für Geoforschung
- Ghent University
- Graz University of Technology
- Hannover Medical School •
- Helmholtz-Zentrum Geesthacht
- Helmholtz-Zentrum Hereon
- Human Technopole
- IMEC
- IRTA
- Institute of Image-Guided Surgery of Strasbourg
- Jagiellonian University
- Leibniz
- Linköpings universitet
- Ludwig-Maximilians-Universität München •
- Luleå University of Technology
- Lunds universitet
- Maastricht University (UM); Maastricht
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Sustainable Materials GmbH, Düsseldorf
- Max Planck Institute for Sustainable Materials •
- Max Planck Institute of Biochemistry, Martinsried
- MedUni Vienna
- Monash University
- Mälardalen University
- NTNU Norwegian University of Science and Technology
- Norwegian University of Life Sciences (NMBU)
- Oxford Brookes University
- Queensland University of Technology
- Radboud University
- School of Business, Society and Engineering
- Tallinn University of Technology
- Technische Universität Berlin •
- The University of Alabama
- The University of Edinburgh;
- UCL
- Umeå University
- Umeå universitet
- Universidade de Coimbra
- Universidade de Vigo
- University Medical Centre Groningen (UMCG)
- University of Amsterdam (UvA); Amsterdam
- University of Amsterdam (UvA); Published today
- University of Basel
- University of Cambridge
- University of East Anglia
- University of Essex
- University of Exeter;
- University of Hull;
- University of Oxford;
- University of Sheffield
- University of Surrey
- University of Twente
- University of Twente (UT); Enschede
- University of Warwick
- Universität Hamburg •
- Université Savoie Mont Blanc
- 90 more »
- « less
-
Field
-
programming languages such as Python and experience with deep learning frameworks (e.g., PyTorch, TensorFlow) is highly desirable strong interest in interdisciplinary research combining imaging, machine
-
with deep learning frameworks (e.g., PyTorch, TensorFlow) is highly desirable strong interest in interdisciplinary research combining imaging, machine learning, and porous materials strong analytical and
-
Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | 17 days ago
machine learning models for detecting subtle, clinically relevant changes in arthritis imaging. Create robust algorithms for longitudinal disease monitoring and treatment-response prediction. Build a
-
learning has strong potential for computer vision, from hyperbolic image segmentation [2] to hyperbolic tree embeddings [3] and hyperbolic vision-language models [4,5]. [1] Nickel, Maximillian, and Douwe
-
physics and permeability evolution models from µCT data using machine learning and computational tools (PuMA/CHFEM/MOOSE) validated against experimental observations Bridging scales from pore-level
-
, Ultrasound and Vibration, Aircraft Structures, Damage Assessment, Structural Health Monitoring, Structural Health Prognosis, Bayesian Statistics, Machine Learning Informal enquiries prior to making
-
assess how effectively imaging techniques capture or enhance the taxonomic resolution of traditional net sampling. Training You will gain skills in plankton taxonomy, image processing, ecological
-
models, multi-view computer vision, semantic graph-based representations, and self-supervised learning—to automatically interpret and understand complex surgical procedures. The overarching goal is to
-
geometry altogether and operate in hyperbolic space. Our lab has published multiple papers showing that hyperbolic deep learning has strong potential for computer vision, from hyperbolic image segmentation
-
imaging and monitoring of resin infusion in sample composite structures to build the digital twin and then explore methods for defect prediction and real time process control. The improved process