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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
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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 impact on public health
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of thousands of molecules in our fully automated high biosafety screening facility CAPS-IT against multiple viruses. You will be responsible for the development and deployment of advanced machine learning models
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students. YOUR TASKS Our research at BogaertsLab focuses on the cognitive science of learning and language. This position is part of the FWO-funded project “Growing a Statistical Mind: The Interplay Between
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a sequential decision-making process explored through computational simulation and deep multi-objective reinforcement learning. The project will investigate a simulation platform that reproduces
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reinforcement learning. The project will investigate a simulation platform that reproduces the structure of real prospection activities by integrating multiple, heterogeneous geospatial and archaeological data
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addresses themes such as sustainability transitions, environmental governance in social ecological systems, human-nature relations, citizen science, biodiversity and biosphere integrity, social learning
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addresses themes such as sustainability transitions, environmental governance, citizen science, ecological justice, social learning, climate adaptation and relationships between science, policy and society
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policies , including a strong focus on quality and integrity in your work. You are a hands-on problem solver, and eager to learn and improve. You are flexible and creative. You possess excellent oral and