Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Employer
- CNRS
- Technical University of Munich
- Inria, the French national research institute for the digital sciences
- The University of Manchester
- University of Exeter
- Delft University of Technology (TU Delft)
- Iquadrat Informatica SL
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- National Renewable Energy Laboratory NREL
- National Research Council Canada
- Nature Careers
- Newcastle University
- University of Stavanger
- Aalborg University
- Blekinge Institute of Technology
- Centrale Supelec
- Cranfield University
- ETH Zürich
- Ecole Centrale de Lyon
- Eindhoven University of Technology (TU/e)
- Fritz Haber Institute of the Max Planck Society, Berlin
- Ghent University
- Helmholtz Zentrum Hereon
- Helmholtz-Zentrum Hereon
- IMDEA Networks Institute
- INESC TEC
- Imperial College London
- Institute of Measurement Science, Slovak Academy of Sciences
- Linköping University
- NOVA.id.FCT- Associação para a Inovação de Desenvolvimento da FCT
- NVIDIA Denmark
- Queensland University of Technology
- Sorbonne Université, CNRS, Inserm
- UNIVERSITY OF VIENNA
- UiT The Arctic University of Norway
- Umea University
- University of Birmingham
- University of Bologna
- University of Galway
- University of Surrey
- University of Surrey;
- University of Vienna
- Uppsala universitet
- Utrecht University
- Wageningen University & Research
- 36 more »
- « less
-
Field
-
algorithms for reinforcement learning, imitation learning, and meta-learning with application to adaptive flight control and navigation; Designing distributed learning algorithms for multi-agent coordination
-
PhD Studentship: Quantum Algorithms for Nuclear Level Densities Atomic nuclei have a rich structure, with heavy nuclei having many excited states – of order thousands or higher. Knowledge
-
to move beyond traditional group-level statistics and model individual variability more accurately. The dissertation will focus on the theoretical and algorithmic development of linear and nonlinear mixed
-
consumption of UAVs. A distributed ML algorithm based on Liquid State Machines will be designed to adaptively optimize resource assignment and UAV positioning. WP3: Algorithms Validation and Use Case
-
algorithms suitable for multi-static and distributed geometries. Understanding the performance limits of such systems, including sensitivity to synchronisation errors, geometry, transmit time, and partial
-
Group , in the framework of MSCA SpecX Project. Research objectives: Feature extraction and distributed algorithms to localise any wireless transmitter in mobile environments that does not collaborate
-
Description Are you curious how Deep Learning and Online Learning can be effectively combined to create new learning paradigms? Job description Online learning algorithms achieve robustness often at the expense
-
science or systems engineering. Knowledge of AI/ML algorithms, particularly graph neural networks and reinforcement learning, is highly advantageous. A keen interest in distributed computing, IoT architecture, and
-
estimation, calibration, and out-of-distribution detection. The PhD candidate will work on novel algorithms, theoretical insights, and large-scale empirical evaluations, with a strong emphasis on
-
to the development of advanced autopilot algorithms, automated navigation systems, collision avoidance technologies, and mission planning software for small to large-scale RPAS platforms. The role will support RPAS