Sort by
Refine Your Search
-
Listed
-
Country
- United States
- United Kingdom
- France
- Italy
- Sweden
- Germany
- Spain
- Poland
- Singapore
- Belgium
- Portugal
- Denmark
- United Arab Emirates
- Netherlands
- Worldwide
- Australia
- Austria
- Canada
- Malta
- China
- Hong Kong
- India
- Ireland
- Romania
- Andorra
- Greece
- Japan
- Luxembourg
- Armenia
- Bulgaria
- Cyprus
- Czech
- Europe
- Finland
- Mexico
- New Zealand
- Slovakia
- 27 more »
- « less
-
Field
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The activity involves the development of motion planning
-
Is the Job related to staff position within a Research Infrastructure? No Offer Description The research activity focuses on the development and experimental validation of advanced Artificial
-
such as audio, event-based vision, and inertial measurements, together with user gaze information. Artificial intelligence algorithms will be developed to fuse and interpret these heterogeneous modalities
-
algorithms for information gathering problems involving one or more rational autonomous agents. The objectives include: the development of learning algorithms; the study of their theoretical properties
-
algorithms for problems related to information markets involving multiple rational autonomous agents. The objectives include: the development of learning algorithms; the study of their theoretical properties
-
-sector supervision, which will prepare you for successful careers in both academic and industrial environments. At Queen’s University Belfast, DC commences the research by developing the QML algorithms
-
at the nanometer scale, in order to benchmark ISOM. On the computational side, the work will focus on the implementation of reconstruction algorithms and calibration methods.ES, regular (weekly) meetings will be
-
Federated learning (FL) is an emerging machine learning paradium to enable distributed clients (e.g., mobile devices) to jointly train a machine learning model without pooling their raw data into a
-
the frontier of human-AI collaboration. Rooted in the conviction that algorithms and AI should enhance — not replace — human capability, The Bike Shop develops computing tools that serve as true “bicycles
-
(LES) results. Key Responsibilities: Develop and refine numerical algorithms for real-time wind field forecasting. Validate forecasting models against high-fidelity LES data and field measurements