Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- Stanford University
- Pennsylvania State University
- Aarhus University
- Blekinge Institute of Technology
- FAPESP - São Paulo Research Foundation
- Queen Mary University of London
- University of Copenhagen
- Yale University
- ;
- Aston University
- Carnegie Mellon University
- Computer Vision Center
- Cornell University
- Delft University of Technology (TU Delft)
- ETH Zürich
- Eindhoven University of Technology (TU/e)
- Inria, the French national research institute for the digital sciences
- KTH Royal Institute of Technology
- Leuphana University Lueneburg
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- New York University
- Northeastern University
- Saarland University
- Sandia National Laboratories
- St Jude Children's Research Hospital
- Technical University of Munich
- The University of Iowa
- Toyota Technological Institute
- University College Dublin
- University of Amsterdam (UvA)
- University of Basel
- University of California Irvine
- University of Canterbury
- University of Central Florida
- University of Florida
- University of North Carolina at Chapel Hill
- University of Turku
- Utrecht University
- VIB
- 30 more »
- « less
-
Field
-
or medical imaging. - Technical Skills: Proficiency in programming languages such as LLMs, CNN, DNN, Python, MATLAB, or R, with experience in imaging software and AI frameworks is desired. - Research Acumen
-
and communicate your ideas with AND without LLMs. You get excited about implementing your ideas. You are a team-player: you enjoy sharing ideas and solving puzzles together. You also enjoy digging in
-
Language Models (LLMs) to systematically code rich qualitative case narratives. This AI-assisted case-survey method enables rigorous large-N cross-case comparison, preserving contextual depth. GAPS will
-
showing independence and innovation, and demonstrated academic writing and communication skills. Experience designing or using AI-assisted research workflows (e.g., LLM-supported literature synthesis
-
Methods for Virtual Labs: Constructing interactive "virtual laboratories" where medical professionals can interact with, audit, and align LLM-powered medical agents with clinical guidelines
-
experiences showing independence and innovation, and demonstrated academic writing and communication skills. Experience designing or using AI-assisted research workflows (e.g., LLM-supported literature
-
., to apply LLMs within the context of knowledge classification via the development of ontologies and other classification solutions. The applicant will work in the Software Engineering Research group, which is
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
strong background in Agentic AI and large language models (LLMs), with demonstrated experience in designing autonomous or semi-autonomous AI systems for complex scientific workflows. The candidate will
-
Preferred: Prior working experience with EHR data, machine learning, deep learning, imaging informatics, and large language models (LLM) is preferred. Prior working experience with popular ML packages, e.g
-
(LLMs), computer networks/systems or wireless networks Research experiences in at least one of the fields: wireless sensor networks, IoT networks, vehicular networks, cloud/edge computing, AI systems A