Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Technical University of Munich
- University of North Carolina at Chapel Hill
- Aarhus University
- Lulea University of Technology
- AALTO UNIVERSITY
- European Space Agency
- Leibniz
- Luleå University of Technology
- NEW YORK UNIVERSITY ABU DHABI
- Nature Careers
- Technical University of Denmark
- The University of Memphis
- University of Central Florida
- University of Colorado
- University of Groningen
- University of Lund
- University of Luxembourg
- University of Oxford
- Vrije Universiteit Brussel
- 9 more »
- « less
-
Field
-
Research Assistant on Session Types: Theory and Programming Semantics Fixed-term until 30 September 2026 to start from 1 October 2025 Grade 06: £34,982-£40,855 per annum inclusive of Oxford
-
Grant and coordinated by the Principal Investigator (PI), Dr Federico Pianzola. This is an interdisciplinary project at the intersection of NLP, Digital Humanities, and Semantic Web technology. Millions
-
We are seeking highly motivated applicants for a 1-year postdoctoral position (with the possibility of 1-year extension) in the area of Goal-Oriented Semantic Communication and Edge Intelligence
-
Job Description Are you passionate about ontologies, data integration, or semantic technologies—and ready to apply them in a real-world engineering context? Would you like to help shape the future
-
, including those involving deformable objects and uncertain conditions.. Semantic Navigation & Mapping – Designing solutions for robot navigation, for Mobile Manipulators, that integrate environmental
-
for relaxed memory models; guarded cubical type theory; and Rocq formalizations. Tasks and Qualifications Applicants are expected to have a strong background in semantics, type theory, and Rocq formalization
-
Scene Synthesis: Re-design diffusion and NeRF-style models so multiple agents jointly reconstruct a scene. Cooperative Scene Understanding: Re-design semantic segmentation and object-detection models in a
-
environments - Semantic scene-understanding in natural environments for robust decision-making - Learning-based traversability-aware path planning and safe trajectory generation - Resilient mission design for
-
classification and multi-layered environment mapping - Digital twin generation for natural environments - Semantic scene-understanding in natural environments for robust decision-making - Learning-based
-
the support to accessing the content of graph. Methodologically, we imagine extending the previous steps to consider tasks such as contributing, maintaining, validating or semantically enriching a knowledge