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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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in all stages of research activity, from physiological data analysis to database management and research data entry. You will also have opportunities to contribute to publications, conference
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detector systems to deliver new information about beam-sensitive materials and time-dependent phenomena in condensed matter physics. See position description for full details. This research fellowship will
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operating in customised modes to deliver new information about key functional materials. Please see the Level A and Level B position descriptions below for full details. This research fellowship will be part
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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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outputs of a team dedicated to translating discovery into meaningful impact for people living with Friedreich Ataxia. We are seeking someone with a PhD in computer engineering, biomedical engineering
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and data integration, with the ability to connect structured data sources to large language models. In addition, you will have exceptional communication and relationship management skills that enable
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of the U.S. workforce. We then consider various attributes of these occupations, as given by the Occupational Information Network (O*NET) data-base. Using a subset of these occupations, we survey a
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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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contributing to ethics applications, conducting literature reviews, assisting with participant recruitment, engaging in qualitative and/or quantitative data collection and analysis, and preparing manuscripts