Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Institute of Biochemistry and Biophysics Polish Academy of Sciences
- Luleå tekniska universitet
- University of Nottingham
- University of Twente (UT)
- Wageningen University & Research
- Aalborg University
- CNRS
- City St George’s, University of London
- Delft University of Technology (TU Delft)
- Fundació Centre de Recerca en Agrotecnologia-AGROTECNIO
- Inria, the French national research institute for the digital sciences
- Max Planck Institute for Sustainable Materials •
- NTNU - Norwegian University of Science and Technology
- Queensland University of Technology
- Singapore University of Technology & Design
- Swansea University
- The University of Iowa
- UNIVERSITY OF VIENNA
- University of Antwerp
- University of Bergen
- University of Birmingham
- University of Cambridge
- University of Michigan
- University of Twente
- University of Vienna
- University of Zurich
- Université Gustave Eiffel
- Vrije Universiteit Amsterdam (VU)
- 18 more »
- « less
-
Field
-
Are you interested in exploring how multi-agent aerial manipulation can contribute to construction and working at the intersection of robotics and machine learning? Job description Advancements in
-
uncertainties can affect the effectiveness of emergency response operations. The objective is to develop a multi-agent model of emergency response operations during flash floods, in order to study how the use
-
What you'll receive The CSIRO Industry PhD Program (iPhD) is a four-year research training program, aimed to produce the next generation of innovation leaders with the skills to work at the interface of research and industry in Australia. The Program includes: admission to a university PhD...
-
Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 25 days ago
workflows and measuring the trade-offs between privacy, utility, security and system performance. The expected outcome is a robust agentic framework that supports safe multi-agent interactions while
-
of London. The successful candidate will work on Agentic Artificial Intelligence—the next generation of AI systems capable of reasoning, autonomous decision-making, task orchestration, and multi-agent
-
selection criteria Experience with agentic AI systems, LLM-based agents, tool use, planning, or multi-agent systems. Knowledge of trustworthy AI topics such as interpretability, explainability, uncertainty
-
of up to 500 ppm of NO, CO, and H2S could occur in the gas mixture and should be detected. Some applications may require the use of gaseous anaesthetic agents such as isoflurane and desflurane. This also
-
-agent systems b. Mapping and Scene Representations - Dynamic Scene Graphs modelling uncertainty - Unified situational awareness for multi-robot systems in large and degraded environments Qualifications
-
: Advancing machine unlearning, privacy-preserving techniques, and robust data curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model
-
robotics. Specific application areas of focus are long-term autonomous missions in large and uncertain environments, semantic mission planning with foundation models, agentic task decomposition and event