Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Hong Kong Polytechnic University
- Northeastern University
- University of Oslo
- Harvard University
- King Abdullah University of Science and Technology
- University of South-Eastern Norway
- ;
- ; Technical University of Denmark
- Institut national de la recherche scientifique (INRS)
- Nanyang Technological University
- Swansea University
- The University of Southampton
- UNIVERSITY OF SOUTHAMPTON
- UNIVERSITY OF SURREY
- University of Adelaide
- University of Ljubljana
- University of Oklahoma
- University of Oxford
- University of Surrey
- University of Texas at Austin
- Western Norway University of Applied Sciences
- 11 more »
- « less
-
Field
-
-quality papers in top journals and conferences. The appointees will be required to: (a) develop novel AI and XR algorithms/software for medical image analysis and computer-assisted surgery tasks; (b
-
-modal fusion 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
-
We are seeking an outstanding, creative researcher with the skills to develop novel, ‘artificially intelligent’ approaches to the application of nanofabrication techniques – see, for example https
-
We are seeking an outstanding, creative researcher with the skills to develop novel, ‘artificially intelligent’ approaches to the application of nanofabrication techniques – see, for example https
-
"Practical Quantum Advantage of Reservoir Computing on NISQ Devices." Position Overview The successful candidate will conduct research in quantum and quantum-classical algorithm development, focusing
-
innovative material solutions. This project tackles this challenge head-on. The project vision is to develop a pioneering AI-driven methodology for designing Functionally Graded Materials (FGMs) specifically
-
both the ATLAST telescope and the nearby community of San Pedro de Atacama. The PhD candidate will have the unique opportunity to shape the renewable energy management system by developing novel real
-
to shape the renewable energy management system by developing novel real-time control & optimization algorithms. Pilot demonstrations on partner radio telescope facilities such as APEX and the Sardinia Radio
-
inferences, but are also developed in a manner that garners public confidence in their applications. To achieve this confidence, we need to prove that the conclusions drawn from machine learning algorithms
-
in algorithms development and refinement; (b) a good command of both written and spoken English; and (c) at least two first-authored publications. Preference will be given to those with: (a