Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Aalborg University
- NTNU - Norwegian University of Science and Technology
- Nature Careers
- CNRS
- Inria, the French national research institute for the digital sciences
- Leibniz
- NTNU Norwegian University of Science and Technology
- University of Bologna
- University of Luxembourg
- University of Twente
- Utrecht University
- Aarhus University
- Constructor University Bremen gGmbH
- Eindhoven University of Technology (TU/e)
- Linköping University
- Lulea University of Technology
- Luleå tekniska universitet
- Newcastle University
- Pennsylvania State University
- Tampere University
- Technical University Of Denmark
- Technical University of Munich
- Tilburg University
- UiT The Arctic University of Norway
- University Medical Center Utrecht (UMC Utrecht)
- University of Amsterdam (UvA)
- University of Birmingham
- University of Cambridge
- University of Galway
- University of Nottingham
- University of Oxford
- University of Twente (UT)
- Uppsala universitet
- 23 more »
- « less
-
Field
-
support: Assist with prototyping and evaluation of multi-agent workflows (e.g., information retrieval, semantic search, recommendation logic, human-in-the-loop processes). Programming and implementation
-
areas providing a template for relevant directions: Field Robotics with a focus on Extreme Environments 1. Navigation through unknown environments - Rapid dynamics-based planning - Semantic-based
-
the following research areas providing a template for relevant directions: Field Robotics with a focus on Extreme Environments 1. Navigation through unknown environments - Rapid dynamics-based planning - Semantic
-
. The Data Spaces group research techniques for intelligentinformation systems, including large-scale decentralised architectures, open data infrastructure, data semantics (representation, storage, and
-
, to achieve spatial understanding and cross-modal representation learning from heterogeneous sensor data, with the research not limited to these methods. This research will support semantic interpretation
-
semantic interoperability Explainable and trustworthy AI aligned with European regulations The PhD candidate will contribute to modelling, system validation, and scientific dissemination within the project
-
Internet, Earth Observation, and Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal
-
(MapAnything, VGGT) to infer 3D change from a much simpler sensing source – the humble camera. The project will pair this direction with fundamental research into multi-session visual SLAM and semantic
-
the development of a higher-layer semantic planning, the decomposition of the plan in subsegments and dedicated controller (such as MPC) for combined planning and control on a subsegment of the XS-Graph
-
such cognitive constraints affect individuals differently across key stages of language development, including phonological and semantic learning. The candidate will design and conduct experiments investigating