Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
Grant and coordinated by the Principal Investigator (PI), Dr Federico Pianzola. This is an interdisciplinary project at the intersection of NLP, Digital Humanities, and Semantic Web technology. Millions
-
, interdisciplinary team of motivated data scientists, clinicians, and epidemiologists. Your main focus will be developing and validating Natural Language Processing (NLP) models to extract clinically meaningful
-
will be part of a collaborative, interdisciplinary team of motivated data scientists, clinicians, and epidemiologists. Your main focus will be developing and validating Natural Language Processing (NLP
-
University, you will build models and methods to parse natural language questions into geo-analytical workflows, combining NLP and semantic representations to improve how complex spatial questions can be
-
. An affinity with NLP and/or computer vision would also be welcome. You have experience with empirical research in speech technology, evaluating AI systems, and socio-technical factors of AI. You have an
-
in the Netherlands for NLP/CL, with ties with the Media Studies group. As part of this PhD, the candidate will: Conduct independent research on the themes of the project and complete the PhD project in
-
sources based on available text descriptions (NLP) and geodata; contribute to a knowledge base linking practical geographic questions to datasets and spatial transformation steps; collaborate closely with
-
. An affinity with NLP and/or computer vision would also be welcome. You have experience with empirical research in speech technology, evaluating AI systems, and socio-technical factors of AI. You have an
-
is an asset. A collaborative mindset and experience working in interdisciplinary environments. Preferred: Experience with advanced AI techniques (e.g. deep learning, computer vision, NLP) in agritech
-
Essentials PhD (completed or near completion) in Computer Science, Computer Vision, NLP, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative