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engineering and a strong foundation in data science. You bring a passion for solving complex problems and a track record of research excellence in optoelectronic materials, machine learning, or related fields
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. We are currently seeking a Research Fellow with experience in AI and machine learning research and development, with a focus on any or all of following application areas: Computer vision Generative AI
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, conducting data analysis, publishing in high-impact journals, and contributing to competitive grant applications. About You To thrive in this role, you will bring: A doctoral qualification in psychiatry
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research experience. You will have demonstrated skills in conducting literature reviews, synthesising information and preparing reports, as well as experience organising and facilitating workshops and
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contributing to ethics applications, conducting literature reviews, assisting with participant recruitment, engaging in qualitative and/or quantitative data collection and analysis, and preparing manuscripts
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to ethics applications, conducting literature reviews, assisting with participant recruitment, and engaging in qualitative and quantitative data collection and analysis, and preparing manuscripts
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of experiments, analysis of neuropsychological and cognitive data and application of computational models. It also contributes to scientific publications and supports collaboration within a network of researchers
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extraordinary ideas - and the people who discover them The Opportunity This is your chance to join a vibrant and forward-thinking team in the Department of Data Science and Artificial Intelligence, part of
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demonstrate a strong commitment to confidentiality and information handling, work collaboratively with colleagues, and show proficiency in Microsoft Office and University software, with a willingness to learn
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meaningful program of work that includes literature reviews, field research, data analysis and scientific writing. The role also involves preparing ethics applications and presenting research findings