Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
fragmentation. This project seeks to overcome these barriers by integrating BIM-based energy modeling, semantic data models (Ontologies), and Large Language Models (LLM) into the control workflow. The candidate
-
motivation letter in PDF with the subject “PD-FAPESP KO-HPC” to Alfredo Goldman (gold@ime.usp.br ). Where to apply Website http://www.fapesp.br/oportunidades/9286 Requirements Additional Information
-
Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 1 day ago
and fine-grained semantic information within the prompts, and assess geometric accuracy of corresponding models' answers. If necessary, we will then propose dedicated learning strategies for inducing
-
communications see our review paper entitled “Semantic Communications in Networked Systems: A Data Significance Perspective” published in IEEE Network, vol. 36, July/August 2022. The project is part of a
-
Your Job: In an interdisciplinary team, you will implement approaches for the automated, large-scale availability and integration of energy system data and models, applying data science methods
-
), multimodal vision and language models, and Large Language Models. Please find prior work here: (Google Scholar: https://scholar.google.com/citations?hl=en&user=oEifmSgAAAAJ&view_op=list_works&sortby=pubdate
-
, and Large Language Models. Please find prior work here: (Google Scholar: https://scholar.google.com/citations?hl=en&user=oEifmSgAAAAJ&view_op=list_works&sortby=pubdate ). We also began exploring how
-
Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
visualization. The postdoctoral researcher will be hired either at the Department of Culture and Language (https://www.sdu.dk/en/om-sdu/institutter-centre/iks ) or at the Department of Mathematics and Data
-
sensing data as appropriate. ● Demonstrated experience using generative AI tools (e.g., large language models) effectively, including prompt design, evaluation of outputs, and responsible use in
-
, governance structures, and integration patterns, ensuring that data is trustworthy, discoverable, interoperable, secure, and prepared for advanced use cases such as RAG, vector search, semantic layers, and