Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Technical University of Munich
- University of Luxembourg
- Utrecht University
- CNRS
- Forschungszentrum Jülich
- Linkopings universitet
- NTNU - Norwegian University of Science and Technology
- UiT The Arctic University of Norway
- Aalborg University
- Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
- Centre for Genomic Regulation
- Cranfield University
- Delft University of Technology (TU Delft)
- Edinburgh Napier University;
- Institute of Image-Guided Surgery of Strasbourg
- Leibniz
- Luleå University of Technology
- Luleå tekniska universitet
- NTNU Norwegian University of Science and Technology
- Radboud University
- Radboud University; Nijmegen
- THE UNIVERSITY OF HONG KONG
- Universidade de Coimbra
- University of Cambridge
- University of Sheffield
- University of Twente (UT)
- University of Twente (UT); Published today
- Università di Pisa
- Utrecht University; Utrecht
- Virginia Tech
- Vrije Universiteit Brussel
- 21 more »
- « less
-
Field
-
generation and semantic search across historical statistics publications. Successful PhD candidates will extensively explore and analyse the suitability and potential benefits of LLMs (and other machine
-
cookie and refresh page to watch video, or click here to open video) About the position PhD project: Intra-body Semantic Communication Theory and Principles for Receiver Design This PhD project aims
-
knowledge in another way. Documented basic knowledge of programming, preferably interaction and/or web programming, and human-computer interaction is required. Experience and/or knowledge of semantic web
-
hydrodynamic models and 3D urban semantic models in collaboration with project partners, with applications to recent major flood events in Germany, Brazil, and Spain. Supervision & collaborations: The PhD will
-
twins, semantic modeling, secure data exchange, and reconfigurable production architectures. The research will also be carried out in LTU’s AIC³ Lab, an advanced test environment for future industrial
-
multiple-output) for high data rate and reliability, integrates semantic and goal-oriented communication, and leverages physics-informed machine learning. A key innovation will be the development
-
the following research areas providing a template for relevant directions: Field Robotics with a focus on Extreme Environments a. Navigation through unknown environments - Rapid dynamics-based planning - Semantic
-
in the Cloud–Edge Continuum Non-Invasive and Semantic-based IoT stream processing framework with Agentic AI for Next-Generation Trustworthy Wearable and Ambient Systems Trust and Generative AI in Agile
-
use, inter alia, physiological measures such as fEMG. Combined with theoretical discourse analysis (as used in the fields of semantics, pragmatics, philosophy of language, conversational analysis and
-
literature Design and test tools to identify and link key entities (e.g. species names, people, places), including disambiguation and semantic enrichment tailored to biodiversity and entomological contexts