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)
- 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
- 11 more »
- « less
-
Field
-
implementation of complex coding schemes (e.g., participation & belonging, inclusion, recognition, justice) in NLP pipelines: from guidelines/definitions to label formats to model and evaluation design. Setting up
-
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 part of
-
applications for a PhD candidate focusing on the use of natural language processing (NLP) methods to advance climate impact research. The overarching goal is to develop a benchmark dataset on the socioeconomic
-
coding abilities, including skills in statistical analysis (e.g., R), computational methods (e.g., NLP methods), programming (e.g., Python), online research tools (e.g., Qualtrics) Strong interpersonal
-
related field Strong Python programming skills and experience with PyTorch or TensorFlow Interest in multimodal data, time-series analysis, or NLP Excellent English; German or French is an asset
-
, learner-aware sequencing of content. This includes work on semantic parsing, structured NLP, graph-based neural models, metacognitive prompting, ontology alignment across disciplines, and human-in-the-loop
-
Basic data analysis and processing skills Statistical analysis knowledge and expertise MS Excel, MS Access, SQL, SAS Python, web-scraping and NLP Any programming experience is a plus Willingness to learn
-
computational methods (e.g., NLP, text-as-data, Python/R) is highly desirable. Interest in serious games, interactive tools, or participatory research methods is an advantage. A research-oriented attitude
-
-edge research across software engineering and NLP for software; publish at top venues and contribute to open-source artifacts Design, implement, and evaluate prototypes that relate bug reports to code
-
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