Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- Northeastern University
- University of Algarve
- Boston College
- Carnegie Mellon University
- Hong Kong Polytechnic University
- Instituto Pedro Nunes
- Instituto de Telecomunicações
- Nanyang Technological University
- Curtin University
- Harvard University
- Humboldt-Universität zu Berlin
- Institut national de la recherche scientifique (INRS)
- King Abdullah University of Science and Technology
- King's College London
- Max Planck Institute of Biochemistry, Martinsried
- National University of Singapore
- UNIVERSITY OF SURREY
- Universidade de Aveiro
- University of Agder
- University of Manchester
- University of New South Wales
- University of Nottingham
- 13 more »
- « less
-
Field
-
The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
-
project - “Establishment of joint research centre on brain-inspired computing”. He/She will be required to: (a) conduct the research on the development of neuromorphic foundation models and brain
-
research project/s under the guidance of the grant CIs (Prof Francis, Prof Tanaka, and Dr Hendriksen), and contribute to development of research activities. Support the dissemination of research outcomes
-
peer-reviewed journals and/or top-tier conferences. Knowledge & Skills: Strong foundation in machine learning, deep learning, and algorithm development. Proficiency in scientific programming (e.g
-
Responsibilities: Design and implement advanced AI/ML models for healthcare applications, including predictive analytics and generative AI solutions. Develop and validate digital phenotyping algorithms using
-
pioneering research and innovation hub in AI—one that will shape the way humans and machines collaborate for decades to come. Led by Prof. Usama Fayyad, the Institute for Experiential AI is built around the
-
scholarship holder will contribute to several research activities, including: - Design and implementation of event-based data compression algorithms, including lossy and learning-based approaches. - Development
-
analysis; (b) develop and implement algorithms for 3D perception (e.g. segmentation, localization and mapping); (c) design and execute experiments to evaluate, validate and refine algorithms and
-
Design). Ideal candidates have Specialist Knowledge in Neuromorphic Engineering, with experience in Designing and Building and Implementing FPGA systems, working with and/or developing neuromorphic
-
-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