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Post-Doctoral Research Associate/ Post-Doctoral Research Fellow in the Department of Health Services
of Advance Choice Documents (ACDs) for people previously detained under the Mental Health Act (MHA) throughout the South London and Maudsley NHS Foundation Trust (SLaM). The project is co-led by Professor
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management, SLAM and perception, and/or AI applications in transportation engineering. Advanced analytical and problem-solving skills. Ability to conduct high-quality research and showcase research outcomes
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tests will be used. From these simulations slamming loads acting on the FOWT can be determined. Secondly, the PhD researcher will assist in setting up an experimental test campaign using a scaled model of
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-aware navigation -Learning-based large scale collaborative SLAM and coverage path planning for large-scale dense reconstruction For further information about a specific subject see general curricula
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collaborative SLAM and coverage path planning for large-scale dense reconstruction For further information about a specific subject see general curricula for the Board of the faculty of science and technology
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environments in Unity. Design and development of immersive representation systems. Learning models. SLAM (simultaneous localization and mapping). Professional experience: In relation to projects that use Machine
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layers mapping and scene graph generation. Learning-based large scale collaborative SLAM and coverage path planning for large-scale dense reconstruction Duties The duties of a Postdoc primarily comprise
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Department. Duties of the position perform research leading to a PhD within the topics of visual sensing and visual odometry (VO), SLAM, multi-sensor fusion and Self-Calibration such as: developing robust
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. Analysis will then be used to develop a new method for 3D representation of complex underwater scenes by optimising an underlying continuous volumetric scene function and merging with SLAM techniques
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with implementing state-of-the-art SLAM (simultaneous localization and mapping) techniques, such as LiDAR Inertia odometry (LIO), on a quadrupedal robot. Student should have experience with C++ and