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Advanced brain-computer interface School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Mahnaz Arvaneh Application Deadline: Applications accepted all year round
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PhD project involves interdisciplinary research at the interface of computer science and mathematics and addresses a complex, coupled inverse problem with explicit uncertainty quantification. Research
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the DFG Priority Programme “Molecular Machine Learning” and embedded in the research project “Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes”. The PhD
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on the following will be an asset: • eXtended Reality (XR), 360-Video, and Volumetric Video technologies. • Quality of Experience (QoE), User Experience (UX) and Human-Computer Interaction (HCI) methodologies
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RTG3120 on Biomolecular Condensates ( https://dresdencondensates.org ). Each PhD project is part of an interdisciplinary framework that includes shared training activities, and supervision by
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-scale missions - Human-Swarm Interfaces including intention-aware swarms and task decomposition - Distributed swarm re-configuration and communications-aware swarming - Ground-Aerial Teaming for complex
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, engineering, and/or computational approaches to tackle questions at this interface. We are particularly interested in candidates with plans to develop a research program involving mining of large-scale data and
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interpretation, and the dissemination of research outcomes through scientific publications and project reports. PhD in computer science, artificial intelligence, computer vision, image processing, remote sensing
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PhD with an interest in computational social science or data science (broadly defined). This individual will help design, execute, and analyze a series of field experiments on a platform created by the
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Human Computer Interaction (HCI) and AI / Robotics. The PhD student will work on a PhD project with the title “Towards Privacy-Compliant and Trustworthy AI-Powered Social Robots”. The aim of the project