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, methods, and governance models to balance the societal and geopolitical opportunities and challenges technologies will create, or innovation, digital transformation, regulation, and other priority issues
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Job Description Are you an established researcher in probabilistic machine learning, with a passion for developing robust, trustworthy, and explainable AI methods for applications in science and
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/39321 Job Number SE184724 Position Information Department or Unit Name Fowler School
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
Hiring Range Proposed Start Date 06/01/2026 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public
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admissions platform. Where to apply Website https://fenix.tecnico.ulisboa.pt/fenixedu-admissions Requirements Research FieldEngineering » Computer engineeringEducation LevelUndergraduate Skills/Qualifications
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platform. Where to apply Website https://fenix.tecnico.ulisboa.pt/fenixedu-admissions Requirements Research FieldEngineering » Computer engineeringEducation LevelUndergraduate Skills/Qualifications Admission
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causal inference methods. Duties include: * Managing research projects including federally funded major multi-site investigator grants and contracts. * Assisting with the development of research grants
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, preparation, presentation, and evaluation of all learning activities in any given course. The instructor must remain current in the discipline area and continually explore teaching methods and strategies
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electrophysiology, imaging, and behavioral methods, with rodents as the model system. A major challenge that makes learning difficult is that the world is complex and high dimensional: there are often multiple
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in both spoken and written Swedish and English. Documented practical experience in laboratory work. You enjoy and are motivated by laboratory work and can quickly learn new methods. Good computer