Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Cornell University
- Duke University
- Argonne
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- NEW YORK UNIVERSITY ABU DHABI
- University of Oxford
- EPFL
- Harvard University
- McGill University
- Northeastern University
- Oak Ridge National Laboratory
- Stanford University
- Texas A&M AgriLife
- Texas A&M University
- University of Groningen
- University of North Carolina at Chapel Hill
- Aston University
- Boston University
- CNRS
- Carnegie Mellon University
- European Space Agency
- FUNDACIÓ ESADE - UNIVERSITAT RAMON LLULL
- Högskolan i Skövde
- Inria, the French national research institute for the digital sciences
- Iowa State University
- KTH Royal Institute of Technology
- KU LEUVEN
- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
- New York University
- Research Center for Molecular Medicine (CeMM), ÖAW
- SciLifeLab
- Singapore-MIT Alliance for Research and Technology
- St Jude Children's Research Hospital
- The University of South Dakota
- University of California
- University of Limerick
- University of Pittsburgh, Pittsburgh , Pennsylvania, US
- University of Utah
- University of Washington
- muséum national d'histoire naturelle
- 30 more »
- « less
-
Field
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
for social assistive robots primarily rely on a human-robot substitution model, where the robot replaces a human agent. The ĀnandaBot project (PEPR eNSEMBLE, France 2030, 2026–2030) instead investigates a
-
computational methods for the control, optimization, and coordination of complex dynamical systems. The work will emphasize applications to multi-agent systems, including robotics, autonomous systems, and
-
whale. The rapid warming of the Gulf of Maine has been linked to distribution shifts in both species. For this project, the researcher will collaborate with a multi-institution research team that is
-
agent-based modeling. Excellent written and oral communication in English. Excellent personal time management, project management and organizational skills. Demonstrated capability to work effectively in
-
research is built around three intertwined questions: how to measure and understand behavior with AI, how brains and embodied agents learn to control the body, and how the brain builds a sense of its body
-
scientific data handling Familiarity with: Multi-agent systems or autonomous systems Optimization under constraints Experience in: Knowledge graphs, NLP, or information extraction (a strong plus) Application
-
for lifelong multi-robot operation, using state-of-the-art parametrisations of stabilising controllers, data-driven control and multi-agent reinforcement learning. The postholder will also provide guidance
-
areas: Generative AI Agentic AI Graph Representation Learning and Modeling Foundation Models Large Language Models Multimodal Learning Forecasting Models Basic Qualifications A Ph.D. or equivalent degree
-
in AI for genomics (e.g., generative models, transformers, genomic language models, agentic AI) and related areas of statistics (e.g., uncertainty quantification for machine learning and AI). Apply
-
the mechanisms of, and interventions for, immuno-senescence and aging in lung transplantation using high-throughput multi-‘omic approaches, primary cell culture systems, and animal models of transplantation. Ph.D