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Field
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systems • Healthcare operations, resource allocation, and workflow optimization • Network, graph, and agent-based modeling for care delivery • Health equity, patient access, and system resilience • Multi
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About the Opportunity The successful candidate will contribute to an ambitious project developing perceptual AI agents that assist humans in daily activities through behavioral understanding and
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”. The main objective of the SPAN network is to address this need by prioritizing the testing of different neuroprotective agents in humans based on their measured comparative efficacy in experimental stroke
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- Exploring Foundational Models and Agentic AI to address challenges in energy storage and conversion. Position Requirements Candidates must meet the following qualifications: 1. Educational Background: - A
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the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The agent will be
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the physical (and social) world. To move toward truly autonomous (and socially intelligent) agents, this research theme focuses on the development of World Models specifically tailored for human behaviour
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, with strong analytical and computational skills, with knowledge of one or all of the following: Dynamic Transport Modelling Demand Estimation and Forecasting Agent-based Modelling and Simulation Data
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the preparation of proposals and reports. Assist in teaching classes. 35% of Time the Postdoctoral Research Fellow may: ● Develop the computational pipeline for an agent-based model of PES landscape mosaic
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, OpenDSS, Machine Learning based emulators, or agent-based modeling. Knowledge of scenario development, resilience frameworks, and socio-environmental-technological systems. Experience with visualization
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’ projects as well as how each applies within the larger context of defining novel therapeutic agents in Hematological Research and broadening our understanding of mechanisms underpinning pediatric marrow