189 postdoctoral-image-processing-in-computer-science positions at University of Bristol
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implement lab based activities to support this. Additionally the role will support other educational provision in the Mechanical Engineering undergraduate programme within the school. The successful applicant
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project focused on the design, development, and operation of high-altitude Uncrewed Air Vehicles (UAVs) for monitoring volcanic emissions used as a real-world proxy to explore Climate Engineering strategies
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You’ll Do: Support AI teaching and research: You'll support students and staff through the full AI model development process, from data preparation to initial training. Some support using traditional
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coding languages Knowledge of evolutionary biology, palaeobiology, evolutionary morphology Academic research publication track record compatible with career stage Desirable Experience in computational
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complex issues, and delivering both immediate fixes and long-term enhancements. You will contribute to innovation, infrastructure design, procurement processes, and knowledge sharing, helping advance
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or computer modelling of behaviour. You will be highly motivated, collaborative and an excellent communicator (especially with respect to writing), and have a demonstrable desire to learn new skills
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computational methods in biophysics, soft matter, and colloid science to directly access molecular structures and interactions at complex bio-interfaces. The PDRA in Bristol (funded till 30 June 2028) will focus
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technology enablers and policy consequences for wireless users, vendors, spectrum managers and spectrum regulators. The successful candidates will carry out research for the JOINER (https://joiner.org.uk
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. For informal queries about the role please contact: Dr Adrian Flint, Director of Programme Planning, Adrian.Flint@bristol.ac.uk Contract type: Open Ended with Fixed Funding until 31/08/2027 Work pattern: Part
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We are seeking a highly motivated and enthusiastic Postdoctoral Research Associate for a Little Princess Trust/Children’s Cancer and Leukaemia Group funded “New Ideas” research project entitled