Sort by
Refine Your Search
-
recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs
-
. This position will work closely with faculty in AI, NLP, Ethics, and Anthropology to design and conduct empirical studies, develop novel evaluation frameworks, and advance methods that ensure AI systems
-
. This position will work closely with faculty in AI, NLP, Ethics, and Anthropology to design and conduct empirical studies, develop novel evaluation frameworks, and advance methods that ensure AI systems
-
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
-
powerful general purpose intelligent systems, as the “brains” of an agent. We aim to revisit the question of agent design, where LLMs provide NLP interfaces and reasoning capabilities for agents. Our work
-
, as the “brains” of an agent. We aim to revisit the question of agent design, where LLMs provide NLP interfaces and reasoning capabilities for agents. Our work will be informed by four decades of agent
-
: Essential criteria PhD in Natural Language Processing (NLP), Artificial Intelligence or a very closely related discipline. Strong research record in NLP as evidenced by publications in high quality journals
-
external) . Does this position pay above the required minimum?: Yes. The expected base pay range for this position is listed in Pay Range field. The pay offered to the selected candidate will be determined
-
machine learning models, natural language processing (NLP), and ontology-based frameworks to enhance simulation, curriculum development, and personalized learning in health professions education. Develop
-
fields Preferred Qualifications: Experience developing and evaluating language models or NLP systems for analyzing user-generated content, including feedback or open-ended survey responses. Familiarity