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Field
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tracking and autoencoders for amplitude and phase noise characterization Bayesian filtering Building experimental set-ups for noise characterization Reinforcement learning strategies for comb generation
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focus on the following areas: Subspace tracking and autoencoders for amplitude and phase noise characterization Bayesian filtering Building experimental set-ups for noise characterization Reinforcement
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developing 3D vision algorithms for object detection, recognition, and scene understanding to support planning and task execution in dynamic environments. Publishing research findings in leading international
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institutions with the objective of receiving a doctoral degree (PhD). State-of-the art, exciting research in an international consortium with highly integrated research projects. Expert training in basic and
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, depending on the candidate’s strengths and interests, following one or more tracks: Privacy-preserving mechanism: quantify privacy risks and develop privacy protection techniques so that grid operators can
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collaborative research team and take responsibility for your individual research objectives. Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and you will be enrolled in
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
building and infrastructure construction settings focusing on multi-user interaction, pro-actively engaging safety benchmarks, and High Energy Control Assessment (HECA) simulation and tracking. It is notable
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qualifications The overall objective of this project is to upcycle excess earth from construction sites into sustainable structures. This will be achieved through the development of advanced, automated processes
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
construction settings focusing on multi-user interaction, pro-actively engaging safety benchmarks, and High Energy Control Assessment (HECA) simulation and tracking. It is notable that this PhD scholarship is
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description of the REUNATECH project and its overall objectives can be found below. Ageing infrastructures, urbanization, and climate change are intensifying the vulnerability of critical infrastructures (CI