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REQUIREMENTS Research Assistant AI Agent (Hourly) Penn State Brandywine & Penn State Great Valley (Yang) Penn State Brandywine and Penn State Great Valley faculty, Xianfang (Sharon) Tan, Ph.D., Luna Yang, Ph.D
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scenarios. Your research will map multilevel governance structures and you will co‑create mitigation strategies through participatory workshops. You will model farmers’ adaptation behaviour using agent‑based
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interdisciplinary research in the humanities, social sciences and digital sciences. Each scholarship is fully-funded for three and a half years (UKRI rates) and includes fees, an annual stipend, an additional London
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organization Knowledge of at least one empirical method (desirable) - Computable general equilibrium modeling and simulation or - Econometrics or - Agent-based modeling Excellent command of English High personal
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Agents for Maritime Simulator Training Apply for this job See advertisement This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The
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modelling (e.g., agent-based Bayesian models, cognitive learning models, machine learning). Experience in annotation software such as ELAN and PRAAT. Existing peer-reviewed journal publications and conference
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of such agents raises important questions about the level of autonomy that AI system can or should be given in the research process. How can we classify the varying degrees of autonomy, and what level of autonomy
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from this PhD project into an agent-based model. This model will be developed by other PhDs in the project team and simulates household adaptation behaviour over time in global flood-prone regions
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within a Research Infrastructure? No Offer Description This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in
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the Collaborative Research Centre for Low Carbon Living. The project uses agent based modelling (ABM) to represent consumer behaviour, social networks and their responses to non-financial incentives and barriers in