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teaching interests in any of the following areas: methodological developments at the intersection of social science and AI/machine learning; the social and political consequences of reliance on algorithmic
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that produce generalizable methodological advances (e.g., new algorithms, models, evaluation frameworks, datasets/benchmarks, or system designs), or design/adapt AI approaches to solve previously intractable
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control Contribute to educational activities that expand AI literacy and promote the responsible use and evaluation of AI in veterinary medicine Mentor graduate students (MS/PhD) and postdoctoral fellows in
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