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building a UAV capable of quantifying aerosol size, composition and radiative effects in the Upper Troposphere-Lower Stratosphere (UTLS). Lead the selection, integration, and testing of advanced sensors
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methods for on-sensor computer vision. Specifically, the job involves developing algorithms for embedded systems that are designed to produce sensing and computation on the image plane, and on understanding
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Bay. The key responsibilities of this role include; Using a combination of automated algorithms and manual data processing to identify bottlenose dolphin signature whistles in a multi-year acoustic
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Photochemical Dynamics in Complex Environments. The project is a collaboration between Prof Andrew Orr-Ewing FRS and Dr Tom Oliver (University of Bristol), Prof Helen Fielding and Prof Graham Worth (UCL), Prof
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(Prof Marc Holderied) and other members of the team to ensure there is a roadmap to match deadlines and milestones, and continually review this roadmap on a weekly basis. You have a PhD (or equivalent
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and intellectual independence, being participative to all activities involving the other research-active members of the team, including meetings, and discussion groups. Working with the PI (Prof Marc
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of energy-efficient hardware, embedded machine learning and sensor-integrated nodes for the edge of the network. We offer a supportive and inclusive academic environment, with access to state-of-the-art lab
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A postdoctoral research position is available in the group of Prof. Adrian Mulholland as part of the European Research Council (ERC) Advanced Project PREDACTED (Predictive computational models
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proteins, ideally vaccines. For informal queries about the role please contact either: Prof Imre Berger: ( imre.berger@bristol.ac.uk ) or Jonathan Light (j.light@bristol.ac.uk ) Contract type: Open ended
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that interviews will be held in w/c Monday 11th August 2025. The proposed start date is 1st October 2025 or as soon as possible thereafter. For further information please contact Prof. Stephanie von Hinke; e-mail