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humanities, knowledge graphs, ontologies, graph databases, network analysis, natural language processing, computer vision. They should also have a PhD in one of the following areas: Digital Humanities
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humans in playing board and computer games, driving cars, recognizing images, reading and comprehension. It is probably fair to say that an artificial neural network can perform better than a human in any
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-Doctoral Research Associate. Preference may be given to candidates with active interests in one or more of the following areas: colour vision, machine learning, computer vision, and virtual reality. The core
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successful candidate must have a PhD (or equivalent) in the field of computer vision or a closely related area. They will possess the skills and ability to conduct high-quality, innovative research and to
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in computer security. In particular the work will seek to deliver novel contributions that enable such systems to safely continue to operate even when they have been partially compromised and
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, meaning that familiarity with one or more cloud-based platforms such as Google Earth Engine, Microsoft Planetary Computer and/or Amazon Web Server/similar is essential. It will also involve the development
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, in natural science and/or social science domains. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background
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computer-aided design (CAD) and FEM solvers of optical systems Experience in the optical and mechanical design of optical devices or lasers Experience with construction and testing of optical cavities
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courses in Computer and Data Science, Mathematics, Engineering, Physics, Biology, Chemistry and Healthcare, striving to inspire and equip entering students to be outstanding scientists. About the University
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a track record of designing neuromodulation and neuroimaging studies in healthy participants, of using computer programs to design experimental paradigms, analyse data and conduct advanced statistical