Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Stanford University
- Indiana University
- University of British Columbia
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- NEW YORK UNIVERSITY ABU DHABI
- SciLifeLab
- Stony Brook University
- The University of Iowa
- UNIVERSITY OF HELSINKI
- University of Colorado
- University of Florida
- University of Glasgow
- University of Minnesota
- University of North Carolina at Chapel Hill
- VIB
- Yale University
- Boise State University
- CEA
- Chalmers University of Technology
- Computer Vision Center
- Dalhousie University
- Dana-Farber Cancer Institute (DFCI)
- ETH Zürich
- Eindhoven University of Technology (TU/e)
- European Space Agency
- FAPESP - São Paulo Research Foundation
- Forschungszentrum Jülich
- Harvard University
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- INSERM
- Inria, the French national research institute for the digital sciences
- Institut Pasteur
- Institute for Bioengineering of Catalonia (IBEC)
- Institute for bioengineering of Catalonia, IBEC
- KTH Royal Institute of Technology
- KU LEUVEN
- King Abdullah University of Science and Technology
- Memorial Sloan-Kettering Cancer Center
- North Carolina State University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The University of Arizona
- Télécom Paris
- Umeå University
- Universidade do Minho
- University College Cork
- University of California Berkeley
- University of California Irvine
- University of Illinois at Urbana Champaign
- University of Kansas Medical Center
- University of Manchester
- University of Michigan
- University of Nevada Las Vegas
- University of Oslo
- University of Oxford
- University of Texas at Arlington
- University of Texas at Austin
- University of Texas at Dallas
- University of Washington
- Universität für Bodenkultur
- Uppsala universitet
- Utrecht University
- Zintellect
- universitypositions
- Łukasiewicz Research Network – PORT Polish Center for Technology Development
- 54 more »
- « less
-
Field
-
: Design and implement ML, deep learning, and Large Language Models for orthopaedic applications Work with multimodal clinical data, including: Medical imaging (X-ray, CT, MRI) Electronic health records (HER
-
Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 months ago
field A strong publication record in high-impact venues (NeurIPS, ICML, ICLR, AAAI, ACL, EMNLP, Nature/Science family, JAMA, Lancet Digital Health, or equivalent) Deep expertise in machine learning and/or
-
deep learning-based models on HPC-resources is also meriting. A well-established international network in EM, and earlier international collaborations around research infrastructure, is highly valued
-
. Apply deep learning approaches to support optimization of segmentation methods for clinical neuroimaging datasets. Investigate developmental differences in infant brain functional networks. Support
-
within the digital twin environment Developing deep learning architectures for time-series forecasting, anomaly detection, and predictive maintenance of the physical asset Designing and training Physics
-
analysis packages, basic shell scripting, experience in Unix/Linux platform) and experiences with deep learning tools (e.g., PyTorch, TensorFLow, Keras), neuroimaging analysis tools (e.g., PMOD, SPM, FSL
-
research and learning. About SBU: Stony Brook University (https://www.stonybrook.edu/ ) is a flagship of the State University of New York (SUNY) system. It ranks among the top 25 public universities in
-
Informatics (DBMI) at Harvard Medical School and the Yu Lab are seeking a Postdoctoral Research Fellow with experience in machine learning and scientific programming. The candidate will work with a multi
-
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
-
combines biomechanics, medical imaging, statistical shape modelling, deep learning and virtual crash simulation to create more realistic and equitable safety assessment tools for tomorrow’s transport systems