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between the archaeological (AMGC) and AI (FLAIR) teams, contributing to the development of a simulator of real-world archaeological search processes and to the AI methods that learn effective discovery
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archaeological search processes and to the AI methods that learn effective discovery strategies within it. You will combine archaeological and landscape data (maps, satellite imagery, archaeological datasets) with
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should be motivated to develop AI methods and apply them to clinically or epidemiologically meaningful research questions. We are particularly interested in candidates with experience in longitudinal data
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package contains: We are seeking a highly motivated postdoctoral researcher to work on reinforcement learning methods for public health decision-making in the context of epidemic emergencies, with potential