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), coastal hazard assessment, model coupling, model calibration, and validation. Experience with machine learning and statistical/probabilistic analysis. Strong programming/scripting capabilities and high
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Postdoctoral position. This position is available to individuals with research interests in applications of machine learning and artificial intelligence to wearable sensor data for nutrition research. Publishes
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to research activities, require an advanced level of knowledge in a field of science or learning, are predominantly intellectual and varied in character, and require consistent use of discretion and judgment
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Summary: The Postdoctoral Fellow provides for an internship and continuation of scholarly activity and research after achieving the PhD or other doctoral degree under the direction of a senior faculty
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and validation. Background in statistical analysis and machine learning. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background
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candidates must demonstrate an ability to develop and teach classes at both the undergraduate and graduate level in the faculty member’s area(s) of expertise as well as to teach courses that support the
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provided to their students, and thus faculty candidates must demonstrate an ability to develop and teach classes at both the undergraduate and graduate level in the faculty member’s area(s) of expertise as
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provided to their students, and thus faculty candidates must demonstrate an ability to develop and teach classes at both the undergraduate and graduate level in the faculty member’s area(s) of expertise as
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experience provided to their students, and thus faculty candidates must demonstrate an ability to develop and teach classes at both the undergraduate and graduate level in the faculty member’s area(s) of
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demonstrate an ability to develop and teach classes at both the undergraduate and graduate level in the faculty member’s area(s) of expertise as well as to teach courses that support the delivery and