Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- Nanyang Technological University
- Macquarie University
- Harvard University
- National University of Singapore
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UiT The Arctic University of Norway
- Nature Careers
- Cornell University
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- UNIVERSITY OF SOUTHAMPTON
- University of Tasmania
- ;
- Carnegie Mellon University
- Northeastern University
- RMIT UNIVERSITY
- UCL;
- University of Glasgow
- University of Nottingham
- University of South-Eastern Norway
- ADELAIDE UNIVERSITY
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- AbbVie
- Amgen
- Barnard College
- CMI - Chr. Michelsen Institute
- CNRS
- City of Hope
- Dana-Farber Cancer Institute
- European Space Agency
- Humboldt-Universität zu Berlin
- Indiana University
- Instituto de Telecomunicações
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- James Cook University
- King Abdullah University of Science and Technology
- Lund University
- NTNU Norwegian University of Science and Technology
- OsloMet
- RMIT University
- Ryerson University
- SUNY University at Buffalo
- SciLifeLab
- Singapore University of Technology & Design
- Technical University of Munich
- University of Agder
- University of Bergen
- University of Birmingham
- University of British Columbia
- University of Hertfordshire;
- University of Michigan
- University of New South Wales
- University of Oxford
- University of Warwick;
- Utah Valley University
- Victoria University
- Vrije Universiteit Brussel
- 47 more »
- « less
-
Field
-
-funded AI research group “Fusing Deep Learning and Statistics towards Understanding Structured Biomedical Data (DeSBi)” development of deep neural networks and machine learning algorithms for the analysis
-
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
-
AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month 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
-
on human behavior modeling related to video classification using deep learning networks for end-users. Work with other team members to develop and maintain software for maximum efficiency and usability
-
Job Description Job Alerts Link Apply now Research Analyst/ Associate/ Fellow in Machine Learning and Artificial Intelligence (ML/AI) University-Level Unit: Sustainable and Green Finance Institute
-
reporting standards * Familiarity with deep learning technologies (e.g., CNNs, transformers) * Experience with Python and ML ecosystem skills (e.g., PyTorch, scikit-learn, etc.). * Skilled in writing and able
-
cross encoder architectures and retrieval augmented generation. Strong programming skills in Python and deep learning frameworks, familiarity with MLOps practices, data governance for sensitive health
-
characterization of integrated memristor devices and systems. • Develop algorithms and system-level integration strategies to harness the capabilities of AI accelerator for machine learning and deep learning
-
sequence or structure analysis, machine-learning method development, and modern software engineering practices. They should be proficient in Python and Linux-based development, familiar with deep learning
-
application development. Deep Learning techniques, Data Engineering, and Semantic Technologies Open-source artificial intelligence, machine learning, statistical estimation methods, software tools, and big-data