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postdoctoral fellow in applied economics with a strong interest in decision-making in the food sector and sustainability-related challenges. About the position The position is placed within the
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at scale; and (ii) explainability of AI-based sequential decision-making, combining formal logic, large language models, and planning so that decisions produced by complex systems can be understood
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outputs with local priorities. Produces interactive visualizations and communication materials to support decision-making. Contributes to interdisciplinary collaboration and project integration across
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biodiversity conservation, ecosystem services, and farmer livelihoods. We seek candidates with expertise in landscape ecology, agroecology, ecosystem services, conservation/restoration decision-making, agent
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volume estimation, navigation, decision-making, and control modules within a simulation-based validation framework. Develop methods to estimate the safe operational capacity for drone operations under
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Psychiatric Research Center (MPRC), University of Maryland School of Medicine (UMSOM). The project involves the use of fMRI and computational modeling methods to investigate decision-making and reinforcement
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institutions. Predictive models with quantified uncertainty will be developed and validated, together with probabilistic consequence models to support risk-based decision-making. A structural optimisation
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actionable information from multimodal spatiotemporal data, including physiological signals, imagery, and natural language, via adaptive machine learning; 2) Personalization of sequential decision making
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respond to medical inquiries in a clear and scientifically accurate manner to guide healthcare provider and payer decision making. During the program, fellows will work collaboratively and cross
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, camera calibration, depth estimation, tracking and visualisation) to enable real-time tissue surveillance for endoscopic and surgical planning and decision making. The project will provide an