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Field
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candidate will design and integrate automated materials fabrication and characterization workflows with agentic AI systems to enable autonomous experimentation and data-driven decision-making. Key research
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Comparative Social Policy (International) (IMCSP), and an MSocSc Programme in Sociology and Data Analytics (MSoDA), and has been successful in attracting MPhil and PhD students from around the world, as
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Programme in Comparative Social Policy (International) (IMCSP), and an MSocSc Programme in Sociology and Data Analytics (MSoDA), and has been successful in attracting MPhil and PhD students from around the
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: 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 member who
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on their scientific advisor’s programs of research and active projects. Fellows participate in core seminars including: 1) Advanced Data Analytic Methods; 2) Grant Writing; and 3) Professional Development, as
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plans for data collection, as well as the methodological and analytical approaches envisioned. The fellow will also be expected to apply for relevant ethical approvals, collect primary data, conduct data
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, Dedoose and other data analytic methods Experience analyzing data from national and project specific datasets Possess excellent oral, written, analytical, organizational and interpersonal skills Strong
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within the project description. The applicant is expected to outline plans for data collection, as well as the methodological and analytical approaches envisioned. The fellow will also be expected to apply
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Comparative Social Policy (International) (IMCSP), and an MSocSc Programme in Sociology and Data Analytics (MSoDA), and has been successful in attracting MPhil and PhD students from around the world, as
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 22 hours ago
laboratory setting and protocol development Demonstrated evidence of publications in the field and excellent presentation skills. Preferred Qualifications: Good data management, analytical and computer skills