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Field
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, empirical modeling and methods, and related areas. Preferred Qualifications Strong interest in international business and global /cross-border supply chain analytics and associated policies is highly desired
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
Hiring Range Dependent on Experience or Dependent on Qualifications. Proposed Start Date 09/24/2026 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education
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for neurovascular interventions. The successful candidate will develop and evaluate medical imaging and artificial intelligence methods for vascular mapping and navigation using computed tomography (CT) and digital
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Computer Science, Robotics, Systems Engineering, Electrical and Computer Engineering, Mechanical Engineering, Chemical Engineering, Materials Science & Engineering, Chemistry, or a related quantitative scientific
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University of California, Los Angeles | Los Angeles, California | United States | about 13 hours ago
Table 23 . A reasonable estimate for this position is $71,491-$85,736. Application Window Open date: September 16, 2026 Next review date: Friday, Oct 16, 2026 at 11:59pm (Pacific Time) Apply by this date
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for Computational Sciences. They will collaborate with leading computer and computational scientists at ORNL and external collaborators in the development and application of new computational techniques specifically
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, Python, R, or comparable platforms). Solid background in signal processing, statistics, time-series analysis, network science, or computational neuroscience. Excellent written, verbal and computer skills
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computer applications. Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders. Department Specific Functions Design and synthesize
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modelers, epidemiologists, and economists. Development, calibrate, and extend of microsimulation and compartmental models of tobacco use and lung cancer in R. Receive training in modeling methods
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, ocean data assimilation, and computational methods for understanding and predicting regional and coastal ocean circulation. This is a full-time position for 2 years, with the possibility of a 3rd year