Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- Aarhus University
- CNRS
- SUNY Polytechnic Institute
- Argonne
- Singapore-MIT Alliance for Research and Technology
- South Dakota Mines
- University of North Carolina at Chapel Hill
- Macquarie University
- Oak Ridge National Laboratory
- SciLifeLab
- Stanford University
- Stony Brook University
- Technical University of Munich
- The University of Iowa
- University of Antwerp
- University of Minnesota
- University of Oxford
- Brookhaven National Laboratory
- Carnegie Mellon University
- Duke University
- Durham University
- Eindhoven University of Technology (TU/e)
- Helmholtz Zentrum Hereon
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- ICN2
- IMT Nord Europe
- Indiana University
- Institut Català de Nanociència i Nanotecnologia
- Institut Pasteur
- Istituto Italiano di Tecnologia
- KTH
- KTH Royal Institute of Technology
- Lunds universitet
- McGill University
- The Ohio State University
- Télécom Paris
- UNIVERSITE D'ORLEANS
- Umeå University
- University of Amsterdam (UvA)
- University of Basel
- University of California Berkeley
- University of Cambridge;
- University of Illinois at Urbana Champaign
- University of Maryland, Baltimore
- University of Miami
- University of Nebraska Medical Center
- University of Nevada Las Vegas
- University of Oulu
- University of Oxford;
- University of Sydney
- Université Grenoble Alpes
- Université Savoie Mont Blanc
- 43 more »
- « less
-
Field
-
biologically-inspired deep learning and AI models (NeuroAI). The computational models we work with include vision deep learning models (including topographical, recurrent, or developmentally inspired models
-
: PhD in CS/ML/medical informatics, strong publication record, and hands-on experience with generative models in medical imaging. Postdoctoral Research Associate (f/m/d) EU Research Project TWIN-X Full
-
required Demonstrated expertise with large language models (fine-tuning, prompting, deployment) Strong Python programming with deep learning frameworks (PyTorch, TensorFlow) Experience with unstructured
-
focused on deep-phenotyping of individuals with autism and controls including brain imaging (MRI, fMRI, DTI and EEG) and a battery of cognitive tests. Our group is currently developing new methods
-
Natural History. The researcher will develop deep learning models to predict individual bee age based on wing morphology. This model will be trained of existing wing images and applied to images of museum
-
imaging of breast cancer as per 1st of May 2026 or as soon as possible thereafter. The position is a fixed-term full-time position for 1 year. As a Postdoctoral researcher at the Department of Clinical
-
reconstruction and processing. Candidates are expected to have a strong background in medical imaging, experience in imaging system evaluation, deep learning and clinical investigation. Brief Description of Duties
-
reconstruction and processing. Candidates are expected to have a strong background in medical imaging, experience in imaging system evaluation, deep learning and clinical investigation. Brief Description of Duties
-
strong background in shape modelling, deep generative modelling (diffusion/transformers), or multimodal representation learning. You have strong programming skills, especially in Python, and preferably
-
structures and corresponding images) needed for training and validating deep learning (DL) models. Work closely with members of the ICMN nanostructures group or external collaborators. Communicate research