Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Oslo
- Nanyang Technological University
- Harvard University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Monash University
- University of Algarve
- University of British Columbia
- University of New South Wales
- Aarhus University
- Carnegie Mellon University
- Centre for European Policy Studies
- Centro de Engenharia Biológica da Universidade do Minho
- Cornell University
- European Space Agency
- Fields Institute
- Indiana University
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Johns Hopkins University
- Macquarie University
- Max-Planck-Institut für Bildungsforschung
- NTNU Norwegian University of Science and Technology
- Northeastern University
- SUNY University at Buffalo
- Technical University of Munich
- UCL EE
- UCL;
- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- UiT The Arctic University of Norway
- Universidade do Minho
- University of Colorado
- University of Manchester
- University of Michigan
- University of Nottingham
- University of Texas at Austin
- Zintellect
- 26 more »
- « less
-
Field
-
, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
-
workplace. To learn more about our culture and hiring process, explore our Jobs at Macquarie page. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/415635/research-fellow-pho
-
of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point
-
system model new module integration, scenario simulations, and prognostics analyses Physics-informed deep learning/hybrid modeling/reasoning AI algorithm development and optimization Job Requirements: A
-
apply machine learning and deep learning models (e.g., graph neural networks, generative models, transfer learning) for materials property prediction, interpretation, and inverse design. Perform high
-
operation and maintenance of equipment Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer
-
. Willingness to support project reporting and milestone reviews. Hard skills Strong programming skills in Python and deep learning frameworks such as PyTorch or TensorFlow. Experience in autonomous navigation
-
research projects and centers. (See for instance http://www.mn.uio.no/geo/english/about/organisation/geohyd and https://www.mn.uio.no/geo/english/research/groups/remotesensing ). We are a growing, lively
-
should possess: PhD/Ms/BSc in Computer Science, Artificial Intelligence, Electrical Engineering, or a related discipline. Strong research background in one or more of: Computer Vision Machine Learning Deep
-
access to the University's research resources, working under the mentorship and guidance of Associate Professor Courtney Fung, PhD, and Honorary Professor Bates Gill, PhD. The fellowship is structured