Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Zintellect
- INESC ID
- Lawrence Berkeley National Laboratory
- NTNU - Norwegian University of Science and Technology
- CSIRO
- Center for Drug Evaluation and Research (CDER)
- Monash University
- Universidade Católica Portuguesa - Porto
- Universidade de Coimbra
- University of British Columbia
- University of Leeds
- University of Massachusetts Dartmouth
- University of Michigan
- University of New South Wales
- University of Southern Denmark
- 6 more »
- « less
-
Field
-
expertise in agent-based modelling. The models we build will have an interface with community stakeholders and mobility service providers, so we are particularly seeking applicants who are comfortable in
-
multi-agent frameworks. Familiarity with immersive platform development (e.g., Roblox, Minecraft), including scripting (Lua/Java), agent behavior modeling, event handling, and API-based integration with
-
conditions and policy outcomes. Desired areas of expertise include: dynamic and complex systems, agent-based modeling, computer programming (familiarity with R, Python, Netlogo), statistical analysis
-
(Lua/Java), agent behavior modeling, event handling, and API-based integration with external AI systems. Experience with distributed systems, reinforcement learning, or simulation environments (e.g
-
analysis, activity-based modelling, and integrated transportation and land use modelling. Demonstrated experience in econometrics and agent-based microsimulation for large-scale regional travel demand
-
the capabilities of Agents, build with Large Language Models, in a collaborative a hidden profiles task. The scenario places 3 people in collaboration with an Agent in a group chat with the task
-
Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 23 hours ago
& simulation to predict various outcomes, including efficacy and safety for opioid overdose reversal agents. Note: you will not be involved with any regulatory decision making and policy discussions. CiVM
-
. Integrate fine-tuned LLMs into the existing agent-based simulation framework in HEVI-LOAD to enable agentic scenario planning and parameter tuning. Design and develop novel multi-agent reinforcement learning
-
Socially-Aware AI agent to enhance team training by providing real-time insights and actionable feedback from multimodal data. We envision that humans and agents will work in teams, complementing each other
-
of the following activities: Activity 1: Assessment of the direct effects of the biological control agent Trichilogaster acaciaelongifoliae Assess the establishment of the biological control agent along