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Field
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advanced molecular imaging (MRI/MPI) to optimize the delivery, biodistribution, and therapeutic outcomes of neurorestorative interventions for hemorrhagic injury using rodent models. The project will involve
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and/or interest in one or more of the following: optimization and optimal control (esp. optimal control of partial differential equations (PDE) or PDE-constrained optimization), scientific machine
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
professionalism, enhance learning, and create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our
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proven track record in reservoir modeling, optimization, and high-performance computing. Proficiency in C/C++ and Fortran. Good verbal and written communication skills. Preferred Qualifications Experience
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search engine. Scanned items are not optimal for search engines. PDF must not require special certificates or passwords to open. Max file size is 10MB. If you have questions, or have issues uploading
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 12 days ago
, and create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our vision is to be
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): scheduling, study preparation and pre-testing, launching/running sessions, and troubleshooting. Maintain and improve lab policies and workflows to standardize protocols and optimize reliability and efficiency
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
for dialysis, including development, fabrication, and optimization of dialysis testing systems. The postdoctoral researcher will work under the guidance of Professors Theo Dingemans (polymer chemist, Applied
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
the group of Dr. Eric Muir at the University of North Carolina at Chapel Hill in the Department of Radiology and the Biomedical Research Imaging Center. The successful candidate will develop and optimize
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, and MRV performance) and identify optimal deployment models coupled with learnings from forest management. Conduct techno-economic and life-cycle assessments (TEA/LCA) integrating forest operations