Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Argonne
- Aarhus University
- NEW YORK UNIVERSITY ABU DHABI
- Stanford University
- King's College London
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Pennsylvania State University
- University of Florida
- Baylor College of Medicine
- Blekinge Institute of Technology
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- FAPESP - São Paulo Research Foundation
- Oak Ridge National Laboratory
- Queen Mary University of London
- UNIVERSITY OF VIENNA
- University of Amsterdam (UvA)
- University of Basel
- University of Copenhagen
- University of Oxford
- Yale University
- ;
- Aston University
- Boston University
- Cornell University
- ETH Zürich
- Ecole Polytechnique Federale de Lausanne
- Harvard University
- Helmholtz-Zentrum Geesthacht
- Inria, the French national research institute for the digital sciences
- KTH Royal Institute of Technology
- Leuphana University Lueneburg
- McGill University
- New York University
- Northeastern University
- Saarland University
- Sandia National Laboratories
- St Jude Children's Research Hospital
- Technical University of Munich
- Texas A&M University
- The University of Iowa
- Toyota Technological Institute
- University College Dublin
- University of California
- University of California Irvine
- University of Canterbury
- University of Central Florida
- University of Connecticut
- University of Lund
- University of Miami
- University of Nebraska Medical Center
- University of North Carolina at Chapel Hill
- University of Oxford;
- University of Turku
- University of Twente (UT)
- Utrecht University
- VIB
- Vrije Universiteit Amsterdam (VU)
- 48 more »
- « less
-
Field
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 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
-
., 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
-
)-statistics, (applied) mathematics, or a related STEM field. Prior working experience with EHR data, machine learning, NLP, bioinformatics, and large language models (LLM) is preferred. In particular
-
vary). Experience designing or using AI-assisted research workflows (e.g., LLM-supported literature synthesis, structured extraction of claims/evidence, reproducible AI-in-the-loop pipelines
-
foundation models or scientific LLMs Special Requirements: Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before
-
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
-
in NextG (5G/6G) with emphasis on O-RAN (near-RT RIC, xApps/rApps), network security, and spectrum management. Design and evaluate AI/ML methods (DL/RL/LLMs/FL) for network automation and decision
-
Models, LLMs, etc. PhD and PostDoc Positions in Visual Computing & AI The Visual Computing & Artificial Intelligence Group at the Technical University of Munich is looking for highly motivated PhD students
-
, including defining classes, properties, and relationships. Experience building AI systems with large language models (LLMs). Required Application Materials: A cover letter discussing credentials and how