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Field
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are seeking a highly motivated Postdoctoral Research Fellow to lead innovative projects at the intersection of Modern AI, Computer Graphics, and VR/AR/XRd Human-Computer Interaction. This role focuses
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computational model outputs and evaluating model performance using appropriate quantitative methods. We expect you have the ability and willingness to collaborate closely with agent-based modellers, experimental
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initiatives. Working with the Hastings Advisory Committee to further develop the Initiative. Supporting the Initiative’s Director in administrating the Initiative Developing the Scholar’s own research program
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Conduct literature watch / scientific monitoring on fundamental aspects of computer science, serious games, and agent-based simulation Contribute to the synergy between conceptual, technological, and
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Directions AI for Scientific Computing Neural Operators and Learning-Based Surrogates LLMs and Scientific Agents Agentic AI for Engineering Design Multimodal Scientific AI Alignment and Verification
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initiatives. Working with the Hastings Advisory Committee to further develop the Initiative. Supporting the Initiative’s Director in administrating the Initiative Developing the Scholar’s own research program
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The Geeleher Lab tightly integrates computational/AI-based analysis of high-throughput genomics datasets (e.g. single-cell / spatial genomics, functional screens) with wet-bench experimental work
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Processes (CLARA). This interdisciplinary project investigates how AI — specifically large language model (LLM)-based agents — can act as adaptive social agents to support students' collaborative learning in
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following is an advantage: Multimodal interaction analysis, eye tracking, speech analysis, or affective computing; VR-based experiments or immersive interaction; Adaptive dialogue management, reinforcement
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market using data available on online recruiting platforms deploying state-of-art approaches in Natural Language Processing, SemanticWeb and Agent-based Modeling. For this purpose, an extensive