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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
- $63,480 Proposed Start Date Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public service
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of duties might include: ● Design and implement research protocols; design safety procedures; adapt new procedures, methods or instrumentation relative to research procedures. ● Collect, prepare and analyze
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collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and
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methods, advanced statistical techniques, and other areas. Responsibilities of the successful candidate include but are not limited to: Leading experiments focused on tobacco and cannabis product emissions
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transition analysis to understand the actors, relationships, interdependencies, barriers and enabling conditions influencing technology deployment and scale-up. Design and undertake mixed-methods research
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of machine learning, neuroimaging and Psychiatry, developing methods with the potential to improve our ability to predict clinical outcomes. They will have the opportunity to work with rich brain MRI datasets
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the Quality of AI Agents) under the direction of Prof Hamid Bouchachia. The project will deliver the engineering abstractions, methods and tools needed to support reliable, scalable end-to-end development
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. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications
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software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders. This is a core job profile
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-time, and evidence-accumulation phenomena. Implement simulation, parameter-estimation, and model-comparison methods in Python, MATLAB, R, or related computational environments. Lead and co-author