Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Cornell University
- Nature Careers
- CNRS
- Princeton University
- University of North Carolina at Chapel Hill
- Lulea University of Technology
- NEW YORK UNIVERSITY ABU DHABI
- University of Southern Denmark
- University of Washington
- Aalborg Universitet
- Aalborg University
- Aarhus University
- Avignon Université
- Boise State University
- Brookhaven National Laboratory
- Ecole Normale Supérieure
- Eindhoven University of Technology (TU/e)
- Heidelberg University
- IMT Mines Ales
- Inria, the French national research institute for the digital sciences
- Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- National Aeronautics and Space Administration (NASA)
- National Institute of Advanced Industrial Science and Technology
- UNIVERSITY OF SYDNEY
- University of Colorado
- Wageningen University & Research
- 17 more »
- « less
-
Field
-
implications: explore scenarios of AI’s commercial development, particularly the rise of agentic and multi-agent systems, and assess their potential environmental impacts. Indirect effects: estimate the indirect
-
managing distributed assets, market participation, and social acceptance. The main research objectives of this project are to: Develop AI-based models for multi-objective portfolio optimization or multi
-
management Milk and meat analyses Livestock systems Experience in working as a member of a multi-disciplinary team Ability to initiate, conduct, and publish research in high impactful journals and to obtain
-
integrated assessment modeling, energy system modeling, or agent-based modeling, who are eager to incorporate socio-political dynamics into their models; or 2.Computational social scientists with experience in
-
circular Netherlands by co-creating and designing an agent-based model of the Metropolitan Region of Amsterdam (MRA). The world is facing many ecological and political challenges, many of them rooted in
-
unsupervised learning Distributed / decentralised command and control: synchronisation, coordination, adaptation, for example using multi-agent systems Decision support under uncertainty Modelling and simulation
-
Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
Lille – Nord Europe, Villeneuve d’Ascq, in the Inria team-project Scool (Sequential, Continual and Online Learning), with strong regular interactions with CIRAD AIDA unit in Montpellier. Keywords: Multi
-
learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised learning Federated learning The Postdoctoral Researcher will be primarily based
-
generation ● Experience with retrieval-augmented generation, agentic or multi-stage workflows, or knowledge-integrated models ● A strong publication record in top-tier AI/NLP venues (ACL, EMNLP
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Institute for the Environment (IE) has a multifaceted mission: (1) To strengthen environmental research capacity across UNC by supporting a multi-disciplinary community of scholars that enhances collaboration