Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Technical University of Munich
- Leiden University
- Utrecht University
- ;
- BCBL - Basque Center on Cognition, Brain and Language
- BCBL BASQUE CENTER ON COGNITION BRAIN AND LANGUAGE
- Brookhaven National Laboratory
- CNRS
- Charles University, Faculty of Social Sciences
- City St George’s, University of London
- Cranfield University
- DAAD
- Ecole Normale Supérieure
- Faculdade de Ciências Sociais e Humanas
- Leiden University; today published
- Luleå University of Technology
- Max Planck Institute (MPI)
- Monash University
- Radboud University
- The University of Edinburgh
- The University of Edinburgh;
- The University of Manchester
- Universidade de Vigo
- University of A Coruña
- University of Montreal-CHU Sainte Justine Children's Hospital Research Center
- University of Sheffield;
- Vrije Universiteit Amsterdam (VU)
- 17 more »
- « less
-
Field
-
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
-
Full-time: 35 hours per week Open-ended (permanent)/Fixed term: 31 August 2026 The project is looking to recruit research assistant(s) familiar in AI, NLP and financial computing to assist with
-
(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
-
AI technologies. As NLP becomes more integral to applications like personal assistants (Siri, Alexa), chatbots (such as ChatGPT), and generative AI, the stakes are higher than ever. Ensuring
-
background in Natural Language Processing (NLP)—including model development, fine-tuning, or evaluation—will be given special consideration. Preference may also be given to candidates who have: Demonstrated
-
machine learning techniques. Fluent in Python programming language, and use of libraries such as TensorFlow, PyTorch, sklearn (punctuation: 20) Item 03: Experience in sound, speech processing and NLP
-
the field of multi-modal data analysis and generation, integrating computer vision, natural language processing (NLP), and machine learning to enable innovative interactions with unmanned aerial vehicles
-
(ESBMC, CBMC, Z3, or similar) – either academic or practical. • Programming proficiency in C/C++, Python, and familiarity with software verification tool development. • Understanding of ML/NLP fundamentals
-
, computer science, software/systems engineering, and data science. Experience with NLP/LLMs and/or requirements engineering is highly desirable; familiarity with model-based systems engineering, safety-critical
-
for three PhD positions to be filled on August 1st 2025 to enlarge our research team working on NLP for medical applications. PhD Positions in NLP for Medical Applications The Chair of Software Engineering