Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Vienna
- Monash University
- UNIVERSITY OF VIENNA
- Stockholm University
- ETH Zurich
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Nanyang Technological University
- University of Luxembourg
- University of Oslo
- Utrecht University
- Vrije Universiteit Brussel
- Wellcome
- <span lang="en">Universitätsklinikum Hamburg-Eppendorf</span>
- AALTO UNIVERSITY
- AIT Austrian Institute of Technology
- Aalborg University
- Aalto University
- Chalmers University of Technology
- Cranfield University
- EPFL
- European Space Agency
- French National Institute for Health Research (INSERM)
- Kent State University
- Linköping University
- Mayo Clinic
- Nottingham Trent University
- OCAD University
- SciLifeLab
- The University of Chicago
- University of Antwerp
- University of Copenhagen
- University of Newcastle
- University of Oslo and UiT The Arctic University of Norway
- University of Southern Denmark
- 25 more »
- « less
-
Field
-
Knowledge Representation for Engineering Information Apply for this job See advertisement About the position We invite applications for a PhD Research Fellow in Formal Methods and Knowledge
-
proficiency in deep learning frameworks (PyTorch) is required. Prior experience or strong theoretical knowledge in active learning, multimodal deep learning, diffusion models, or representation learning
-
proficiency in deep learning frameworks (PyTorch) is required. Prior experience or strong theoretical knowledge in active learning, multimodal deep learning, diffusion models, or representation learning
-
University of Oslo and UiT The Arctic University of Norway | Norway, Michigan | United States | about 9 hours ago
earlier than 2 January 2027 and preferably as soon as possible thereafter Project 2: Bridging logic, knowledge representation and learning Employment: University of Oslo, Department of Informatics PhD
-
ecosystem functionality. Our interdisciplinary lab will develop novel Graph Representation Learning models to understand and predict interactions in dynamic ecological networks. Our lab is looking for
-
. Due to the fundamentally different programming paradigm and logic representation from traditional software, the existing development lifecycle can not fully suit the characteristics of DL systems
-
. Due to the fundamentally different programming paradigm and logic representation from traditional software, the existing development lifecycle can not fully suit the characteristics of DL systems
-
detection and monitoring, invariant and distributionally robust representation learning algorithms, and deployment-time calibration with uncertainty quantification using approaches such as conformal
-
state-of-the-art optical inline 3D scanners, such as laser triangulation sensors, primarily deliver geometric depth information, industrial processes often require deeper object knowledge beyond
-
repository, the related the use of Indigenous AI to create, manage, reinterpret, “rematriate”/repatriate and recover archives and museum collections, experiential/spatial knowledge(s) and representation