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School of Computing & Mathematical Sciences Location: Greenwich and Medway Campuses Salary: £38,249 to £44,128 Contract Type: Permanent Release Date: Friday 25 July 2025 Closing Date: Friday 08 August 2025 Interview Date: To be confirmed Reference: FES015-E We invite applications outlining...
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The University of Bristol is seeking a Research Associate to work with Dr Ben Faber on a Wellcome Trust-funded project entitled ‘Utilising large joint structural phenotypes of osteoarthritis
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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
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statistical methods are not suitable for big data due to their certain characteristics: heterogeneity, statistical biases, noise accumulations, spurious correlation, and incidental endogeneity. Therefore, big
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and data recording. Agricultural / Vet Nurse experience or qualifications, with experience in large animal husbandry would be an advantage. The post holder will require the ability to communicate well
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Are you passionate about using data to uncover insights in cardiovascular health? Do you have experience working with large-scale datasets and a strong interest in clinical research? We are seeking
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Strong background in computational neuroscience and data analysis Proficiency in programming (e.g., Python, MATLAB, and similar languages) Experience with large-scale neural network simulations Experience
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modelling, quantification of uncertainties and data analysis. They will work closely with a large delivery team at the UK Centre for Ecology & Hydrology, British Geological Survey and Imperial College London
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Internal Applicants Only About the Role Seeking a part-time researcher to support work on a large grant application. This post will support work on a funding application for a large research project
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including cell culture, organ-chip models, tissue engineering, and musculoskeletal biology. The PDRA will plan and conduct experiments, generate high-quality data, prepare publications, make presentations and