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seeking a highly motivated Postdoctoral Researcher to join the Machine Learning cluster. The position is part of a research project investigating how visual foundation models can efficiently acquire new
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for cardiometabolic disease with associated neurodegenerative conditions. It aims to develop novel deep learning algorithms, audio and vision transformers, and hybrid attention mechanisms, to detect
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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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learning, understand their mathematical foundations, and connect them to space-related technologies and missions. The focus is on building rigorous models that explain and predict the behaviour of modern
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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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learning? Then you are the person we are looking for. Your position You will contribute to the newly funded COGNITO project (carbon monoxide (CO) Global aNalysis, source Identification and emission
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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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, and environmental data. The research will involve machine learning, human-centred experimentation, real-time comfort prediction, and the integration of intelligent climate control systems into vehicle
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We are seeking a postdoctoral researcher with a curiosity-driven record who works at the intersection of machine learning (ML) and the sounds of wildlife (“bioacoustics”). We are also happy
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integrated into a collaborative network of faculty mentors based on research alignment. To learn more about faculty research, candidates are encouraged to visit: https://ed.psu.edu/academics/departments