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are particularly interested in individuals who have: Strong background at least two of the following areas: machine learning, natural language processing, large language models and multimodal processing Excellent
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, collecting and analysing biomedical data, training machine learning models for bowel sound classification, and supporting prototype refinement and software integration for eventual commercialisation. Key
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in practical applications. We are particularly interested in individuals who have: Strong background at least two of the following areas: machine learning, natural language processing, large language
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microbes chemically/physiologically. Computational work could include genomic analyses, machine learning, and simple mathematical modeling approaches. Responsibilities Responsibilities include the following
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September 30, 2026 At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and
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what we learn to the people of Arkansas. Cooperative agreements with seven state university campuses, two state parks, and the UA System's Winthrop Rockefeller Institute enable scholars at ten research
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to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity
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related). Technical Skills: Familiarity with artificial intelligence/machine learning techniques and data analysis. Experience with programming (Python or similar) and handling educational data is a plus
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collection, and data analysis. Work activities may include the following. • Developing analysis tools to extract physical meaning from in-situ process data. • Developing machine learning algorithms to drive