Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Oslo
- Nanyang Technological University
- King's College London
- National University of Singapore
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The University of Queensland
- European Space Agency
- Francis Crick Institute
- NTNU Norwegian University of Science and Technology
- Queen's University Belfast
- Singapore University of Technology & Design
- University of Algarve
- University of London
- University of Texas at Austin
- University of Waterloo
- 5 more »
- « less
-
Field
-
of Singapore (NUS). The selected candidate is expected to: • contribute to AI and software stack integration from architecture to vision task 1. Dataset, pre-trained model gathering, software sandbox and
-
• Possess a PhD in Computer Science, Software Engineering, Information Systems, or a related field. • Strong full-stack development skills (e.g., Node.js, React/Vue, Python backend frameworks
-
to investigate traffic profiling and monitoring and intrusion detection on encrypted traffic in a zero-trust, programmable network architecture. A major focus is designing and implementing in-network machine
-
completed within the past five years, or close to completing, a PhD in aerospace engineering, computer science, artificial intelligence, systems engineering, software engineering or a related field, with a
-
: FastTrackAI: Fast-Tracking AI for Scientific Discovery with Accelerated Networking and Computation on Modern Architectures in Singapore Project Introduction: The advancement of accelerated computation and
-
methods and deep learning to enable scientific reasoning. Develop software prototypes for automated research workflows that integrate autonomous discovery pipelines with modern deep learning architectures
-
collaborative. You will join a multidisciplinary team on the Denmark Hill Campus with a leading role in: Developing scalable analysis pipelines and software architecture for handling large numbers of heterogenous
-
. The Ule Lab is highly collaborative. You will join a multidisciplinary team on the Denmark Hill Campus with a leading role in: Developing scalable analysis pipelines and software architecture for handling
-
to computational models. The group has a leading role in European within the fields of unconventional computing, our Comet initiative , and Computer Architecture, our CAL initiative . The position will be part of
-
converters, including solid-state transformers and advanced power-delivery architectures for data centres. The technologies developed may also support renewable energy integration, energy storage, DC