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Field
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about the ones you don’t check! Familiarity with the theory of electromagnetic fields and waves. Experience with programming in C++ and / or Python. Some exposure to parallel computing, e.g., OpenMP, MPI
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of the organization's patient safety plan in alignment with the Duke Health and Duke Regional Hospital objectives. Collaborates with physician, nurse, and other clinical and non-clinical leaders, including quality and
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you will be doing: As a Postdoctoral Fellow, you will be part of a project funded by the National Institutes of Health within the BRAIN CONNECTS programme, led by Schaefer with Chris Jacobsen
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molecules affect the survival of the Gram-negative pathogen Klebsiella pneumoniae . This project forms part of an international, collaborative programme committed to accelerating the discovery of new
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pneumoniae . This project forms part of an international, collaborative programme committed to accelerating the discovery of new treatments for infections by bacteria. The role will offer you significant scope
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sequence programming (e.g., IDEA/ICE) and contemporary image reconstruction techniques (e.g., compressed sensing, parallel imaging, model-based or deep learning reconstructions). Knowledge of radial data
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sequence programming (e.g., IDEA/ICE) and contemporary image reconstruction techniques (e.g., compressed sensing, parallel imaging, model-based or deep learning reconstructions). Knowledge of radial data
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university-parallel/college transfer programs. Central Virginia Community College Clinical instructor responsibilities: · Orient students to the clinical setting and plan student assignments that align with
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
the health and well-being of the people of North Carolina and the nation, and, as relevant and appropriate, the people of other nations, through its programs of education, research, and scholarship, and
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apply them to data from massively parallel spike train recordings, as well as intracranial recordings from human patients. Both these datasets are already available as part of collaborations, so novel