Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Argonne
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Nature Careers
- CNRS
- Princeton University
- UNIVERSITY OF SYDNEY
- Virginia Tech
- Aalborg Universitet
- Aalborg University
- Cornell University
- Duke University
- Heidelberg University
- Imperial College London
- KINGS COLLEGE LONDON
- Technical University of Denmark
- Texas A&M University
- University of Colorado
- University of North Carolina at Chapel Hill
- University of Oxford
- University of Sydney
- Wageningen University & Research
- Aarhus University
- Avignon Université
- Brookhaven National Laboratory
- Drexel University
- Duke University Medical Center
- Eindhoven University of Technology (TU/e)
- FAPESP - São Paulo Research Foundation
- IMT Mines Ales
- Imperial College London;
- Institut de Robòtica e Informàtica Industrial CSIC-UPC
- Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences
- Lawrence Berkeley National Laboratory
- Leiden University
- Linköping University
- Max Planck Institute for Demographic Research (MPIDR)
- McGill University
- New York University
- Northeastern University
- Stanford University
- The University of Iowa
- Télécom Paris
- University of Basel
- University of London
- University of Oxford;
- University of Southern Denmark
- University of Washington
- Vrije Universiteit Amsterdam (VU)
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- 39 more »
- « less
-
Field
-
, and can analogous mechanisms be engineered into multi-agent AI systems? You would answer this question by building and testing computational models, developing multi-agent simulations where agents
-
what alignment is required between the world models of agents and humans that collaborate. You also develop communicative strategies for the agent to detect misalignments and take actions to resolve
-
several major types of mobility modeling, with the aim of improving their respective efficiency and usage: four-step models, multi-agent systems and a mobility model developed in the PhD thesis of Louisette
-
Philanthropy and is fixed-term until 31 Dec 2027. A further extension to this would be based on funding availability. You will conduct hands-on empirical research in multi-agent security and agentic AI security
-
agents for X-ray spectroscopy by integrating large language models (LLMs) with physics-aware spectroscopy workflows. The researcher will work closely with a multidisciplinary team of X-ray physicists and
-
optimization and LLM alignment: design preference-based training and fine-tuning methods (RLHF, PPO, DPO, reward modeling) for medical and multilingual LLMs. Agentic and tool-augmented AI systems: develop
-
tailored to radiology workflows. Developing software tools that supports reliable model comparison, ablations, and useful documentation (for human users and agentic use). Communicating results effectively
-
Philanthropy and is fixed-term until 31 Dec 2027. A further extension to this would be based on funding availability. You will conduct hands-on empirical research in multi-agent security and agentic AI security
-
learning and LLM frameworks like LangChain and agent-based LLM frameworks, Retrieval Augmented Generation (RAG). Experience with fine-tuning, deploying, and evaluating Large Language Models. Experience with
-
, or trustworthy AI agentic AI, multiagent systems, sequential decision making, and LLM-based reasoning embodied or physical AI, robotics, autonomous systems, or intelligent infrastructure systems strong programming