Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Aarhus University
- CNRS
- SUNY Polytechnic Institute
- Argonne
- Singapore-MIT Alliance for Research and Technology
- South Dakota Mines
- Macquarie University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- SciLifeLab
- Stanford University
- Stony Brook University
- Technical University of Munich
- The University of Iowa
- University of Minnesota
- University of Oxford
- Université Grenoble Alpes
- Brookhaven National Laboratory
- Brown University
- Carnegie Mellon University
- Duke University
- Durham University
- Eindhoven University of Technology (TU/e)
- Harvard University
- Helmholtz Zentrum Hereon
- ICN2
- IMT Nord Europe
- Indiana University
- Institut Català de Nanociència i Nanotecnologia
- Institut Pasteur
- Istituto Italiano di Tecnologia
- Lunds universitet
- Maastricht University (UM)
- Norwegian Meteorological Institute
- Oak Ridge National Laboratory
- The Ohio State University
- Télécom Paris
- UNIVERSITE D'ORLEANS
- Umeå University
- University of Amsterdam (UvA)
- University of Antwerp
- University of Basel
- University of British Columbia
- University of Cambridge;
- University of Illinois at Urbana Champaign
- University of London
- University of Lund
- University of Maryland, Baltimore
- University of Miami
- University of Nebraska Medical Center
- University of Nevada Las Vegas
- University of North Carolina at Chapel Hill
- University of Oulu
- University of Oxford;
- Université Savoie Mont Blanc
- 45 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
-
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description SIT's mission is centred on nurturing industry-ready graduates who possess deep technical expertise and
-
: 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
-
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
-
required Demonstrated expertise with large language models (fine-tuning, prompting, deployment) Strong Python programming with deep learning frameworks (PyTorch, TensorFlow) Experience with unstructured
-
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
-
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