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This is a Research Assistant / Research Associate position within a 4-year long project. This position involves the development of novel Computer Vision algorithms for embedding computer vision
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practices. Durham University is committed to the Concordat to support the career development of researchers. For further information please visit the Research Staff web pages on https://www.durham.ac.uk
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area. You will also be required to hold a collection preview event to showcase the collection to academics within the University and external researchers. The Fellow will also write a blog post to
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acquisition of a range of environmental and operational data in the digitisation of food manufacturing processes for processing using applied AI techniques. We anticipate the successful applicant will develop
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disciplines (e.g. primary care research, epidemiology, sociology, psychology). The postholder will be well supported in their professional development, with opportunities for developing skills and knowledge
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against different interfering systems. Develop, with colleagues, a spectrum sharing database for use by the JOINER community and design and develop models using AI/ML and other techniques to ensure
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academic taskforce, the successful applicant will work to advance four objectives: Evaluate and compare different models for accessing and analysing social platforms data, including data donation, web
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the Faculty supports people to achieve their potential, please see our staff blog: https://engineering.blogs.bristol.ac.uk/category/engineering-includes-me/ Contract type: Open ended with fixed funding until 31
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. Your main research responsibilities may include: Design and develop AI/ML models for real-time threat intelligence and anomaly detection in large-scale testbed infrastructures. Design and develop dynamic
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the applicability of your research. Your main research responsibilities may include: Design and develop AI/ML models for real-time threat intelligence and anomaly detection in large-scale testbed infrastructures