Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nanyang Technological University
- University of Oslo
- Harvard University
- Macquarie University
- National University of Singapore
- Northeastern University
- Nature Careers
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Cornell University
- UNIVERSITY OF SOUTHAMPTON
- University of British Columbia
- Indiana University
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- University of Maryland, Baltimore
- Carnegie Mellon University
- City of Hope
- FCiências.ID
- Hong Kong Polytechnic University
- University of Nottingham
- University of Tasmania
- Johns Hopkins University
- King Abdullah University of Science and Technology
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- The University of Southampton
- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- UiT The Arctic University of Norway
- University of Glasgow
- University of Michigan
- University of South-Eastern Norway
- University of Texas at Austin
- Wayne State University
- Zintellect
- ;
- ADELAIDE UNIVERSITY
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- AbbVie
- Amgen
- Barnard College
- Belmont University
- CMI - Chr. Michelsen Institute
- Case Western Reserve University
- Center for Devices and Radiological Health (CDRH)
- Dalhousie University
- Dana-Farber Cancer Institute
- European Space Agency
- IMD Business School
- Instituto Pedro Nunes
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- LNEC, I.P.
- Lawrence Berkeley National Laboratory
- Lund University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Manchester Metropolitan University
- Monash University
- RMIT UNIVERSITY
- RMIT University
- Ryerson University
- SUNY University at Buffalo
- SciLifeLab
- Singapore University of Technology & Design
- Tampere University
- Technical University of Munich
- The California State University
- The University of Alabama
- The University of British Columbia (UBC)
- The University of Memphis
- University at Buffalo
- University of Agder
- University of Bergen
- University of Birmingham
- University of California
- University of Colorado
- University of Hertfordshire;
- University of Idaho
- University of Leeds
- University of Michigan - Ann Arbor
- University of New South Wales
- University of North Carolina at Charlotte
- University of Oxford
- University of Warwick;
- Utah Valley University
- Victoria University
- 73 more »
- « less
-
Field
-
Science, Biostatistics, or a closely related area. Strong ML/deep learning foundation plus expertise in at least one of: multimodal learning, time-series modeling, or NLP. Demonstrated working experience
-
learning and statistics, and who are eager to contribute to impactful methods for generating private and fair synthetic data with good utility. This project involves development of deep learning based
-
reproducibility, Knowledge of deep-learning methods, At least one first author manuscript in the context of omics data analysis in an international peer-reviewed journal in good track for publication (to be
-
Research Framework Programme? Not funded by a EU programme Reference Number EU-59005 Is the Job related to staff position within a Research Infrastructure? No Offer Description AI and Deep Learning
-
mathematics, statistics, or machine learning, or a closely related discipline • OR near to completion of a PhD • Expert knowledge of Bayesian computation and deep learning methods • Excellent
-
departments. What you’ll do: Designing, developing, and deploying modern AI/ML models—including deep learning, foundation models, multimodal architectures, and generative approaches—to analyze complex
-
candidates/candidates who are in the closing stages of their master’s degree can also apply Solid background in artificial intelligence and machine learning, including deep neural networks Programming
-
of start date) Key Qualifications Experience with deep learning frameworks, especially PyTorch, and with high-performance computing environments Experience with multi-GPU training and distributed computing
-
AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
machine-learning methods to investigate the deep-time controls on copper mineralisation. The role will involve developing reproducible computational workflows, generating predictive maps of copper
-
hands-on experience in areas such as computer vision, deep learning, multi-modal sensing, robotics, structural health monitoring, or digital twin technologies. (Fresh PhD graduates are welcome