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Field
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. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with
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learning, mathematical analysis, mathematics of data, modeling & simulation, multiscale methods, numerical analysis, optimization, ordinary and partial differential equations, numerical solvers, quantum
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Falls Posting Context Statement Position Overview Lead research projects focusing on developing and optimizing network protocols for power systems. Explore innovative applications of AI in modeling and
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to pursue a successful career in the Regulatory Affairs and will have a practical understanding of the other function's responsibilities to enable them to be an optimal collaborator and colleague. During
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
. * Collaborates with The Graduate School teams for student success and professional development to ensure optimal student experiences for fellowship recipients. * Oversees fellowship nomination and selection
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understanding of the other function's responsibilities to enable them to be an optimal collaborator and colleague. During the fellowship, the fellow will work within Regulatory Affairs to gain experience in
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members on IntelliCage operations. Lead behavioral studies using IntelliCage to assess functional outcomes. Establish and optimize injury paradigms (e.g., TBI, CRCI) and therapeutic timelines. Collaborate
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analytics and insights collection and reporting Support of medical congress and information booths Contributing to the execution of omnichannel and digital strategy within Medical Affairs to ensure optimal
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goals. During your appointment, you will engage in activities and research in several areas. These include, but are not limited to: Culture media and growth optimization of genetically engineered
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such as system usability, improved patient outcomes, and workflow optimization. Preference will be given to candidates who have completed a clinical informatics fellowship or similar advanced degree