Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- CNRS
- Utrecht University
- Aalborg Universitet
- Charles University, Faculty of Social Sciences
- Duke University
- Luleå University of Technology
- Nature Careers
- Swansea University
- Technical University of Munich
- The University of Manchester
- Universidade de Vigo
- University of A Coruña
- University of Sheffield;
- Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology
- 4 more »
- « less
-
Field
-
. Argument(ation) mining, the new and rapidly growing area of Natural Language Processing (NLP) and computational models of argument, aims at the automatic recognition of argument structures in large resources
-
of Natural Language Processing (NLP), AI, and LLM Security. The positions are open for appointment from May 1, 2026 or soon thereafter - starting dates after the summer of 2026 are also possible
-
Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology | Poland | 17 days ago
, interpretation summarisation, and interactive chatbot support for defining factual states and generating tax ruling applications. The project incorporates advanced NLP models, in-context learning techniques, and
-
of Text Analytics and head of the GATE team part of the NLP group at The University of Sheffield. She is a world-leading researcher in Natural Language Processing. She has been a leading developer of the
-
written by humans and large language models. Months 5-6. Development of green algorithms for syntactic analysis of natural language using HPSG grammars Where to apply Website https://sede.udc.gal/services
-
more. For more information, you may refer to https://www.uni.lu/snt-en/research-groups/trux/ . The successful candidate will: Conduct cutting-edge research in multimodal and multilingual natural
-
(NLP) and information retrieval (IR) that focuses on identifying, retrieving, and generating arguments (and counter-arguments) present in texts and dialogues, as well as classifying relations between
-
question parsing pipeline using NLP and formal semantic representations; investigate Large Language Models (LLMs) as well as symbolic AI for question parsing; evaluate models based on a gold standard of geo
-
data, and apply the computational methods to understand biomedical problems like tumor microenvironment, immunology, and aging. The individual will work with Dr. Yi Zhang (https://yi-zhang-compbio
-
- and machine-learning-based methods that automatically describe and model geodata sources using textual metadata (NLP) and the geodata itself; contribute to a corpus of geo-analytical scenarios with