Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Belgium
- Netherlands
- United Arab Emirates
- Sweden
- Switzerland
- Norway
- Portugal
- Denmark
- Austria
- France
- Luxembourg
- Poland
- Romania
- Australia
- Greece
- Hong Kong
- Spain
- Estonia
- Singapore
- Canada
- Finland
- Malta
- Saudi Arabia
- Italy
- Andorra
- Brazil
- China
- Cyprus
- Taiwan
- 22 more »
- « less
-
Program
-
Field
-
the EU Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description Group: Prof. Tim Liedl , LMU Faculty of Physics
-
Research Studentship in Numerical Optimisation and Control 3.5-year D.Phil. studentship Project: Embedded Optimisation for Autonomous Spacecraft Control Supervisors: Prof Paul Goulart The project
-
-leading, diverse and UK-wide research programme in probabilistic AI. The hub will develop the next generation of mathematically-rigorous, scalable and uncertainty-aware AI algorithms. This will be achieved
-
applying General information: Contact For questions about the project, please contact the primary supervisor Prof. Dimitra Vasiliadis: dimitra.vas@gmail.com For questions about the ENDOTRAIN programme
-
Computational Astrochemistry/Algorithm development for Quantum Dynamics Calculations School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof AJHM Meijer Application
-
Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? Yes Offer Description Deadline for applications: 31/12/2025 Application process open
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you want to develop human-centred RL algorithms to shape
-
Hospital, Greece. The position is funded by the European Commission through the MSCA Doctoral Network Endotrain (Grant No: 101227148) and coordinated by the University of Bergen, Norway. Supervisors: Prof
-
models are combined with computational algorithms to solve challenging complex problems, as well as a statistical view of machine learning which clearly integrates the two subject areas within the division
-
. This project draws inspiration from these biological principles to rethink how intelligent systems represent information, perform computations, and physically implement their algorithms. A key research direction