Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oxford
- Nature Careers
- ;
- Princeton University
- Stanford University
- University of North Carolina at Chapel Hill
- Brookhaven Lab
- Cornell University
- THE UNIVERSITY OF HONG KONG
- Forschungszentrum Jülich
- NEW YORK UNIVERSITY ABU DHABI
- University of Miami
- ; Maastricht University
- ; Xi'an Jiaotong - Liverpool University
- Argonne
- Blekinge Institute of Technology
- Carnegie Mellon University
- Case Western Reserve University
- Chalmers University of Technology
- Durham University
- Emory University
- KINGS COLLEGE LONDON
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Mälardalen University
- Oak Ridge National Laboratory
- Pennsylvania State University
- SUNY University at Buffalo
- Technical University of Munich
- University College Cork
- University of Cambridge
- University of Central Florida
- University of London
- University of Tübingen
- Vrije Universiteit Brussel
- 24 more »
- « less
-
Field
-
-edge machine learning techniques will be used, including Large Language Models (LLMs). About Queen Mary At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the
-
research project management. Application Deadline: August 30, 2025 . Requirements for Post 2: Construction AI An excellent publication track record in BIM or AI; Substantial experience in LLM-related
-
advanced expertise in developing AI applications using offline/online LLMs (e.g., GPT, Qwen, DeepSeek, Mistral, Llama, Gemma) within Linux environments. They must also demonstrate proficiency in clinical
-
Models for Multi-Modal Reasoning This project explores the integration of graph-based foundation models (e.g., knowledge graphs) with large language models (LLMs) to build AI systems capable of reasoning
-
techniques will be used, including Large Language Models (LLMs). About Queen Mary At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable
-
Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 1 month ago
, mathematics, and data science. Collaborative projects merge traditional geographic research with advanced computational methods such as graph neural networks (GNNs) and large language models (LLMs) to explore
-
-term from the 1st September 2025 - 28 Feb 2027. There has been massive recent interest and efforts into systematic evaluation of the safety of LLM & VLM agents, but these works have focused exclusively
-
*Strong publication record (relative to degree timing) *Collaborative spirit in interacting with postdoctoral and PhD researchers on the team *Interest in developing and applying Large Language Models (LLM
-
• Uncertainty quantification around LLMs • Constrained optimal experimental design (active learning) • Combining models and combining data / Realistic simulation of clinical trials • Developing
-
(LLMs), and Vision Language Models (VLMs) Develop Retrieval Augmented Generation (RAG) models Developing manifold learning (e.g., tSNE and UMAP), unsupervised clustering Analyze electronics health record