Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Harvard University
- Hong Kong Polytechnic University
- ;
- Nanyang Technological University
- UNIVERSITY OF SURREY
- University of Bergen
- ETH Zurich
- King Abdullah University of Science and Technology
- Northeastern University
- Singapore University of Technology & Design
- Universidade de Aveiro
- University of Oslo
- ; Technical University of Denmark
- CNRS
- Institut national de la recherche scientifique (INRS)
- National University of Singapore
- The University of Queensland
- UNIVERSITY OF SOUTHAMPTON
- University College Cork
- University of Nottingham
- University of Oklahoma
- University of Oxford
- University of Surrey
- University of Texas at Austin
- 14 more »
- « less
-
Field
-
School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee Prof Wang Lin at the School of Electrical and
-
diagnostics and antimicrobial resistance (AMR) profiling. Work at the interface of engineering, data science, microbiology and clinical research. Become part of a larger consortium together with Prof. Emma
-
Deadline: none (posted 2024/11/01) Position Description: Position Description Led by Prof. Fabio Boschini, the time-resolved ARPES (TR-ARPES) laboratory at the Advanced Laser Light Source (ALLS) user
-
learning or deep learning research project; (b) evaluate the proposed algorithms; and (c) conduct a real-case analysis. Qualifications For the Research Fellow post, applicants should have a doctoral
-
assessment”. They will be required to: (a) conduct advanced research on multi-modal fusion techniques for localization and mapping; (b) develop and implement algorithms for autonomous robots; (c
-
techniques for localization and mapping; (b) develop and implement algorithms for autonomous robots; (c) design and execute experiments to validate and refine algorithms and systems; (d) publish
-
-related multimodal processing (audio with text and/or video), audio deep learning, or a related topic. The post holder would have experience in developing new research algorithms or methods, using languages
-
-related multimodal processing (audio with text and/or video), audio deep learning, or a related topic. The post holder would have experience in developing new research algorithms or methods, using languages
-
things differently – and achieving notable results. We are now seeking an enthusiastic Postdoctoral Research Fellow in Biological Signal Processing to work within a diverse research team under Prof
-
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