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contributions, and potentially co-author publications. It is particularly well-suited for students who are considering pursuing a PhD or an academic career after graduation. We welcome applications from all
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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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will be based in the School of Biosciences; Previous experience working with samples and data databases related to BBRCVA is required. This position is full-time (35 hours per week) and fixed term
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of professionals. Duties to include: Support electrospinning research in the lab of two PhD students, by generating fibers, modifying the spinner platform and performing mechanical testing Performs data collection
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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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of professionals. Duties to include: Support electrospinning research in the lab of two PhD students, by generating fibers, modifying the spinner platform and performing mechanical testing Performs data collection
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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 qualification in health or social sciences or similar e.g. MSc or PhD Experience in methods of inclusive co-production Experience of coordinating a network for research or public engagement
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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