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of Artificial Intelligence). General Requirements Candidates should have (i) a PhD degree in Data Science, Artificial Intelligence, Computer Science, Computer Engineering, or a relevant discipline; (ii) a good
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of this position will include publishing data from a recently completed NIH-funded study of the context and behaviors within incidents of family aggression and violence, and assisting with grant writing activities
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, Bioengineering, Life Science and Medicine, Microbiology, Information Science, Pharmacology, Chemistry or Applied Chemistry. Postdoctoral Researchers: Candidates holding (or soon completing) a PhD degree with
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science. Preferred Qualifications Enrollment: Must be a current graduate student (Master’s or PhD) in a relevant field (e.g. Computer Science, Data Science, Learning Sciences, Educational Technology, or
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
@ecu.edu ). Contingent upon the availability of funds Minimum Education/Experience PhD (or equivalent degree) in Biomedical Sciences, or a closely related field. Hiring at the Assistant Professor rank will
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postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies. To foster
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, environmental data science, or a closely related STEM discipline Demonstrated expertise in urban spatial data analytics, with proficiency in GIS software (e.g. QGIS, ArcGIS) and geospatial methods Experience in
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literature reviews, designing studies, and collecting data. They will be able to interact with PhD students and other pre-docs, take one PhD course per term, attend workshops and seminars and be part of
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the sponsoring agency. Basic Qualifications: PhD degree and 8 years relevant postgraduate experience or a MS degree with 12 years postgraduate experience in electrical engineering or closely related engineering or
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postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies. To foster