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of the PhD will be the derivation of multilayered approaches for motion planning and control based on the XS-Graphs, where both model-based and learning-based solutions are foreseen. This includes
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and Power group has about twenty full time academic staffs, thirty post-doctoral research staffs and more than 60 PhD students. The group is known for its world leading research in control and power
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POSTDOCTORAL RESEARCH ASSOCIATE MODELLING VECTOR (TICK) ECOLOGY AND TICK-BORNE PATHOGEN TRANSMISSION
pathogen control in Botswana as part of the BBSRC-funded “Revolutionising ticks and tick-borne pathogen control” by modelling African tick population ecology and tick-borne pathogen transmission dynamics
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and textual conditions Primary experiments will be conducted in CARLA (https://carla.org), enabling controlled and repeatable evaluation of hallucinations under diverse driving conditions. The PhD
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Metabolic Medicine and the Liverpool Centre for Cardiovascular Science (LCCS) at the University of Liverpool. You will join a multidisciplinary team on a randomised controlled trial examining when to restart
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excellent command of English. Knowledge of other languages is also an asset. Previous academic research experience is an asset. We offer a position as a full time PhD researcher (one year, with extension up
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of neural circuits controlling various aspects of natural behavior. See our lab web page (https://www.engertlab.org/research ) for more information about our publications and research interests. Basic
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, robust, and trustworthy robotic technologies. Your research will span core challenges such as robot control, decision-making under uncertainty, multimodal information fusion, and foundational models
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design a novel haptic interface for heavy equipment. Its specific aim is to design the mechatronic package, implement the controller, integrate it with our simulator and to determine the impact of
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contribution of the PhD will be the derivation of multilayered approaches for motion planning and control based on the XS-Graphs, where both model-based and learning-based solutions are foreseen. This includes