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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 12 hours ago
doctorate (e.g., Sc.D., M.D.) Departmental Preferred Experience, Skills, Training/Education: Ph.D. in Architectural Technology, Biology/Biotechnology, Mechanical or Electrical Engineering, Chemical
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, cells, and circuits. Analyze Diverse Data: Work with clinical, omics, and imaging data. Advance Therapeutic Discovery: Apply AI to identify new treatments. Develop Computational Tools: Build AI-powered
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. Knowledge of fluid mechanics, computational mechanics, mathematical modelling, numerical methods, or medical image analysis is considered an advantage. Experience with experimental fluid mechanics, laboratory
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that translate evidence-based interventions for preventing suicide and violence in communities, functional magnetic resonance imaging (fMRI) studies, firearm injury prevention through technology and engineering
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successful candidate, you will: Collaborate closely with computational scientists, experimental biologists, engineers, mathematicians, and medical oncologists to design and execute integrative cancer research
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 22 hours ago
emerging medical technology domains: interventional and autonomous systems, extended reality technologies, and novel imaging validation and evaluation methodologies. This integrated project aims to develop
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personnel engaged in routine and expeditionary operations. NAMRU-SA scientists conduct basic, applied, and advanced technology research and development through prototype demonstration in an operational
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, train, and evaluate machine learning models for image processing and automated detection of animal infestations, wounds, and other indicators of susceptibility to myiasis; and apply computer vision
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physics, mechanical engineering, materials science and engineering, chemical engineering, computational science, or a closely related field. A strong background in one or more of the following areas: graph
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characterization, scientific computing, and artificial intelligence. Applicants should have: A Ph.D. in mechanical engineering, materials science and engineering, applied physics, computational science, or a closely