Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- Harvard University
- Florida International University
- Nanyang Technological University
- UiT The Arctic University of Norway
- Indiana University
- Johns Hopkins University
- Northeastern University
- University of British Columbia
- University of New South Wales
- Western Norway University of Applied Sciences
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Brunel University
- Carnegie Mellon University
- Centro de Engenharia Biológica da Universidade do Minho
- Cori Institute of Molecular and Computational Metabolism
- Curtin University
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- King's College London
- Leiden University
- Max-Planck-Institut für Bildungsforschung
- Oak Ridge National Laboratory
- Princeton University
- Purdue University
- Research Center for Molecular Medicine (CeMM), ÖAW
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UCL;
- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- Universidade de Coimbra
- University of Cambridge
- University of Denver
- University of Michigan
- University of Minho
- University of North Carolina at Chapel Hill
- University of Nottingham
- University of Turku
- Università degli Studi di Cagliari
- Zintellect
- eQuest
- 30 more »
- « less
-
Field
-
responsible therapeutic use. This position investigates the design of adaptive, AI-driven interactive environments (serious games and biofeedback systems) that respond in real time to a user's physiological
-
into commercial products that solve big problems. We support research that universities, companies, and venture capital firms don’t fund because they view it as too risky. We prefer to use the word “challenging
-
project “Actively learning experimental de-signs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate/index.html The PhD fellow will be part of a growing
-
of adaptive, AI-driven interactive environments (serious games and biofeedback systems) that respond in real time to a user's physiological signals (such as muscle activity, movement, or cardiac
-
progress in machine learning and artificial intelligence, the successful candidate will have primary responsibility to develop, implement, and test multimodal machine learning algorithms to analyze and
-
the course of their fellowship period within the duty component of 25 %. Project description This position is part of The Norwegian Centre for Embodied AI (NCEI, https://www.ntnu.edu/web/ncei ), one
-
at the University of Oslo and in Tromsø at UiT The Arctic University of Norway. Machine learning is a core driver of artificial intelligence (AI) and an increasingly important force in a digital and data-driven world
-
is part of the ERC-funded project “Actively learning experimental de-signs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate/index.html The PhD
-
artificial intelligence (AI) and an increasingly important force in a digital and data-driven world. Integreat develops theories, methods, models, and algorithms that combine data with general or domain
-
for example in political trust, welfare state legitimacy, political participation, and voting behaviour? How do different gendered grievances interact across the life course? The project has a focus on Norway