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tablet based cognitive screening tools for use with those with acquired brain injuries (e.g., stroke, traumatic brain injury etc). The post-holder will be expected to be central in data collection in
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identification of phases in metallic systems such as aluminium alloys or steels. You will have demonstrated expertise in applying machine learning and computer vision techniques for the analysis of scientific
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physics (mandatory) Good didactic skills (mandatory) High written and oral expression skills (mandatory) Computer user skills (mandatory) Excellent command of English (mandatory) Ability to work in a team
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and forward-looking environment in which colleagues can develop their careers and contribute to shaping the future of computer The Role The role focuses on advancing research in explainable and
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, Mechanical Engineering, Computer Engineering or a closely related subject Experience in conducting academic research or providing research assistance in the field of RF/microwave engineering or printed
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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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area. You will possess sufficient specialist knowledge in the discipline of neurodiversity to work within established research programmes. An experience in engaging in Human-Computer Interaction (HCI) based
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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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of technology, economy and our everyday life. Machines perform comparably to, or even surpass humans in playing board and computer games, driving cars, recognizing images, reading and comprehension. It is
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language technologies, such as: Neural Machine Translation (NMT), LLMs, Computer-Assisted Translation (CAT), Terminology Extraction and Management, Quality Assurance; experience working with professional