Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Aalborg University
- ETH Zurich
- Linköping University
- Monash University
- Technical University of Denmark
- AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences
- CEA
- Chalmers University of Technology
- European Space Agency
- Ghent University
- Lulea University of Technology
- Nanyang Technological University, Singapore
- Stockholm University
- Umeå University
- University of Copenhagen
- University of Twente
- 6 more »
- « less
-
Field
-
-preserving machine learning at a scale. Research group The Privacy-aware transparency decisions research group (led by Prof. Vicenç Torra) conducts research in data privacy for data to be used for machine
-
the research group led by Associate Professor Theodora Kontogianni in the Visual Computing Section at DTU Compute. Our research investigates how intelligent systems can perceive, understand, and
-
connect formal models with observable behaviour. Our group studies cooperation across multi-agent systems and AI, social systems, and biology. Recent work includes evolutionary models of cooperation and
-
connect formal models with observable behaviour. Our group studies cooperation across multi-agent systems and AI, social systems, and biology. Recent work includes evolutionary models of cooperation and
-
research in an academic environment for a 4 years period in view of a PhD degree. You have a strong background in wireless and mobile networks, as well as machine learning, ideally with exposure to
-
development of secure and trustworthy AI for resource-constrained embedded systems. The research will investigate how machine learning models can be designed and deployed efficiently on constrained
-
modeling and data-centric strategies for data-efficient machine learning with considerations for fairness and privacy aspects. The position is part of the Wallenberg AI, Autonomous Systems and Software
-
Partnerinserat Übersicht PhD Positions - Max Planck ETH Center for Learning Systems (CLS) 100%, Zurich, fixed-term Drucken In our highly competitive CLS doctoral training program, fellows are co
-
. Project description Resource-Efficient On-Device AI/ML for IoT Systems This PhD project investigates resource-efficient multimodal machine learning for intelligent Internet of Things systems. It
-
communication. The research will study how radio signals and multimodal sensor observations can be jointly exploited by intelligent physical systems, such as robots, vehicles, and distributed autonomous