Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Washington, D.C. Connections working at Johns Hopkins University More Jobs from This Employer https://main.hercjobs.org/jobs/21728365/research-software-engineer-clinical-nlp-specialty-data-science-and-ai
-
growth as a hub for AI excellence. The Department of Natural Language Processing (NLP) is expanding and we invite candidates at all levels (Assistant, Associate and Full Professor) to apply. The Department
-
- 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
-
are on social media analysis, multilinguality and multimodality, machine translation, and AI for NLP. https://sheffield.ac.uk/cs/people/academic/carolina-scarton About the School The School of Computer Science
-
-doctoral fellow in Artificial Intelligence - Large Language Models and BDI Systems. He/she will work under the supervision of the center's executive president. Your main tasks: Design, develop and apply NLP
-
team at the Laboratoire d'Informatique de Grenoble (LIG). GetAlp conducts research in NLP, machine learning, evaluation, and interpretability. The project will be supervised by Maxime Peyrard (CNRS
-
lab’s mission is focused on research in Arabic natural language processing and computational linguistics. The selected candidate will assist with specific projects in CIDSAI that involve Arabic NLP, and
-
The project will prioritise digitising these records using natural language processing (NLP) and machine learning (ML) to create structured datasets. These will support AI applications in paediatric care
-
operationalization. The AIOS group encompasses expertise in AI, data science, machine learning, computer vision, NLP, production deployment, cloud infrastructure, data engineering, project management standards, and
-
operationalization. The AIOS group encompasses expertise in AI, data science, machine learning, computer vision, NLP, production deployment, cloud infrastructure, data engineering, project management standards, and