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for longitudinal data analysis or large language models. Strong motivation in the development and application of digital twins, particularly in health and biomedical contexts. Strong computer programming skills
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Associate selected for this position will work as a member of an interdisciplinary team on research involving the use of statistical and machine learning methods for the development of Immune Digital Twins
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complements the strengths of Texas A&M AgriLife Research unit at Corpus Christi in Digital Agriculture. The incumbent is expected to work with a team of transdisciplinary scientists to develop predictive models
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epifluorescent microscopy techniques Experience with Bacillus subtilis. Prior experience with undergraduate research mentoring. Required Special Knowledge, Skills, and Abilities: Experience with effective digital
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, Public Health or a related field focusing on digital life and mental health. Required knowledge, skills and abilities: - Excellent verbal and written communication skills, including ability to effectively
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analyses of digital traces (e.g., Yelp, Airbnb, Stack Exchange) and virtual lab experiments to study how ingroup favoritism and group boundaries coevolve in multiplex communities; how attribute- and opinion
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fabricated using advanced manufacturing processes. Purpose: You will be working at the MDF to advance digital manufacturing technologies and to facilitate and accelerate their deployment to industry. The MDF
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Position Summary This position will primarily support the implementation of a newly funded National Institute of Mental Health R01 grant focused on optimizing a digital chatbot intervention for
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success and positively transforming the community through scholarship and service. We thrive on innovation, making an impact, and fostering an environment where staff and faculty are key contributors
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models Experience in artificial intelligence to develop the algorithms for digital twins Experience with both qualitative and quantitative data analysis techniques Experience in cleaning and analyzing