Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- Indiana University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Dana-Farber Cancer Institute (DFCI)
- INESC ID
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Max-Planck-Institut für Bildungsforschung
- Nanyang Technological University
- UNIVERSITY OF SURREY
- UiT The Arctic University of Norway
- Universidade de Coimbra
- University of Aveiro
- University of Birmingham
- University of Birmingham;
- University of British Columbia
- University of Idaho
- University of Inland Norway
- Western Norway University of Applied Sciences
- 8 more »
- « less
-
Field
-
proving, funded by the Advanced Research + Invention Agency (ARIA): https://agentic-sel4.github.io/ The project, joint with Andrei Popescu at the University of Sheffield and Toby Murray at the University
-
learning-based model predictive control (MPC) algorithms for multi-agent multirotor drone navigation around vessels in maritime environments. The role will focus on integrating multirotor crash predictions
-
timely research question: How can Large Language Models (LLMs) and intelligent agents support transparent, scalable, and auditable clinical data harmonization? We are particularly interested in: LLM-driven
-
framework for immersive 3D virtual environments, such as Roblox and Minecraft. The research staff will play a key role in building and integrating of AI agents into gaming scenarios (e.g., gameplay
-
. Familiarity with immersive platform development (e.g., Roblox, Minecraft), including scripting (Lua/Java), agent behavior modeling, event handling, and API-based integration with external AI systems. Experience
-
farmer livelihoods. We seek candidates with expertise in landscape ecology, agroecology, ecosystem services, conservation/restoration decision-making, agent-based modelling, or related fields. The PDF will
-
; André Venturoti Perrotta; Paula Alexandra Gomes da Silva. IV - Work Plan / Goals to be achieved: The scholarship will support the building of a functional prototype where an intelligent AI agent is
-
research focus may include the following areas: Fine-tuning of large language models on rewards derived from social interactions or collective outcomes Evolutionary adaptations of AI agents in social
-
. Advanced machine learning, reinforcement learning, and agent-based optimization techniques will be developed to reduce voltage deviations, cut active power curtailment, and improve system adaptability under
-
in edge intelligence, multi-agent AI, and interdisciplinary collaborative research, and looking for a PhD position, this opportunity can be for you. The Energy Informatics EI@ND Networks and