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
-
(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
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
predictive modeling and pathfinding. This includes exploring the use of large language models (LLMs) for schema mapping and normalization tasks, evaluating embedding strategies that enhance interpretability
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Identification and Precision Oncology Center’. Work on the project at RENCI involves developing approaches for the use of Large Language Models (LLMs) to process collections of clinical notes, radiology and
-
will combine BERT type models and Large Language Model (LLM) to examine research publications and patents, in combination with other unstructured data sources such as policy documents, media, call
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
, designing tools for data interpretation and visualization, and/or training foundation models and large language models (LLMs) for diverse biomedical applications. Dr. Li has published over 70 peer-reviewed
-
(LLMs), and Vision Language Models (VLMs) Develop Retrieval Augmented Generation (RAG) models Develop manifold learning (e.g., tSNE and UMAP), unsupervised clustering Analyze electronics health record
-
Your Job: ...to revolutionize applications of the physical sciences through tailored large language models (LLMs) and intelligent agentic systems. Your tasks in detail: Development and fine-tuning
-
mathlib) for Automated Discovery in Physics Agentic frameworks (e.g. LLMs with tool-use) for closed-loop idea generation for physics (example here ) Other projects are certainly possible too. In general, we
-
learning, deep learning, and large language models (LLMs), for the analysis of high-throughput multi-omics datasets (especially single-cell and spatial omics) and large textual corpora (e.g., scientific
-
live in. Your role The CLAIM and ICR groups are seeking an outstanding postdoc to strengthen their research teams with expertise in Large Language Models, more precisely in Agentive Reasoning and LLM