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, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most
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opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally
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cross-functional teams. Experience or demonstrated familiarity with AI, machine learning, and big data applications in development research and evaluation. Minimum five years of field experience training
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opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally
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, all influenced by Penn’s distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who
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, all influenced by Penn’s distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who
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, all influenced by Penn’s distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who
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machine learning algorithms for extracting movement and contextual data from multimodal sources including videos, biosensor recordings, and text. Job Description Job Responsibilities Perform data annotation
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, leveraging scientific insights to address real-world business challenges. WiN’s research is closely tied to advanced analytics, with a strong focus on computational modeling, machine learning, and high
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from specialized human movement datasets. Assist in identifying available datasets, performing data annotation, developing and applying machine learning algorithms for extracting movement and contextual