Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- University of Luxembourg
- ETH Zürich
- Leibniz
- Aalborg University
- CNRS
- Constructor University Bremen gGmbH
- Duke University
- Eindhoven University of Technology (TU/e)
- Fondazione Bruno Kessler
- Harvard University
- Helmholtz-Zentrum Umweltforschung
- Pennsylvania State University
- Technical University of Munich
- The University of Chicago
- University Hospital Tuebingen
- University Medical Center Utrecht (UMC Utrecht)
- University of Bergen
- University of Southern Denmark
- University of Strathclyde;
- Uppsala universitet
- Utrecht University
- 12 more »
- « less
-
Field
-
robots in case of terrain changes—by processing incoming sensor and IoT data on-the-fly. Natural Language Processing (NLP) and Large Language Models (LLMs) bring a complementary human-centric dimension
-
/research-groups/trux/ . The person will: Conduct cutting-edge research across software engineering and NLP for software; publish at top venues and contribute to open-source artifacts Design, implement, and
-
in at least one major programming language, such as Python, is expected Familiarity with deep learning frameworks and modern NLP toolkits is an advantage Motivation to publish research results in
-
for scalable and green AI. Use cases in administrative, educational, and legal domains. The successful candidate will become part of the Odense NLP group under the Centre for Machine Learning . The centre is
-
, Graduate Dean's Prestigious Fellowship, Low-Resource Methods for NLP SAC Award at NAACL 2025, the Best Paper Award at LoG 2022, Marco Ramoni Distinguished Paper Award at AMIA-IS 2025, the Best Paper Award
-
) and Machine Learning/NLP (Natural Language Processing) to capture both the network embeddedness and the qualitative B2B relationship features of supply chains. The project identifies key bottlenecks
-
, including abstract geospatial workflows; design AI- and machine-learning-based methods that automatically describe and model geodata sources using textual metadata (NLP) and the geodata itself; contribute
-
) Experience with NLP methods Experience in writing scientific publications What we offer Our mission is to keep rethinking and innovating the provision and use of research data and information. In TIB’s
-
innovative solutions involving industrial partners Interest in applying NLP technologies to problems and texts from the legal domain Strong communication skills and the ability to lead software development in