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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
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jumps with agent-based models to explore how opinions and news spread, enriched with social mechanisms such as cooperation, competition, and innovation. Our project will open a largely unexplored research
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different scenarios, including emergency power supply, energy trading, grid balancing, islanded operations, and disaster recovery. In the initial phase, the supervisors, the candidate (based
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the initial phase, the supervisors, the candidate (based on the candidate's profile), and research partners will work together to identify the comprehensive research questions to be addressed to meet the
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 4 days 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
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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
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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
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research team as a Research Fellow to work on a Real World Asset technology that is based on blockchain. The Research Fellow will perform literature review, design new blockchain techniques using generative
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Opportunity You will play a key role in advancing agent-based travel demand modelling to help shape healthier, safer and more active cities. You will help build innovative modelling frameworks, analyse real
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decision agents based on graph neural network or similar will an advantage. Key Competencies Good knowledge in reliability analysis. Experience in FMECA and equipment health management will be advantageous