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Field
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Qualifications: Completion of a PhD in aerospace engineering, physics, or a related field at the time of the appointment. Experience in experimental plasma physics. Ability to function and thrive in a
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the Fellowship start date of August 29, 2025. Recent PhDs from any discipline (including but not limited to Africana studies, anthropology, Asian studies, business administration, comparative literature
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
of patient care, education, and research. We strive to promote faculty, staff, and learner development in a diverse, respectful environment where our colleagues demonstrate professionalism, enhance learning
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and patient-reported outcomes; (b) observational research and comparative effectiveness studies; (c) intervention studies; (d) clinical informatics, mobile/electronic health; (e) machine learning
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
emphasis on remote sensing. 2. Experience of using multiple sources of remotely sensed data, particularly optical, Lidar, and Radar data. 3. Sound statistical skills and use of Machine Learning/Geospatial AI
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Qualifications: A PhD in Mechanical Engineering required; successful PhD thesis defense with pending graduation will be considered Experience with theoretical modelling and data analysis using Machine Learning is
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spinal cord dissection, immunohistochemistry, immunoblotting, EM processing, confocal, TEM imaging, and other biochemical and molecular approaches. In addition to lab work, the postdoc will teach one
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bi-parental mapping analysis. Machine Learning and Statistical Analysis: Proficient in conducting and troubleshooting machine learning analysis using large image or numerical datasets for disease
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independent postdoctoral fellows with training and expertise in agent-based modeling, neural networks, social network analysis, machine learning, data analytics, computational economics, or computational social
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-robot collaboration, human behavior modeling, human-robot communication, learning and cognition, planning and re-planning, management of trust and its effects on collaboration, and forensics for human