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has real world impact, informing developments in energy storage, improved cancer imaging, quantum computing, nuclear fusion, pandemic modelling and faster digital technologies. We pride ourselves
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modeling of cell morphology and tissue function using imaging and computer vision; AI models of disease and digital twin applications. Biological applications and disease areas ideally focus on genetics and
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of Diagnostic Sciences & Surgical Dentistry. This position combines formal supervision of five Diagnostic Procedures Technology employees with hands-on dental imaging, clinical and didactic instruction, and
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related to staff position within a Research Infrastructure? No Offer Description Work Activities Lensless imaging and computational imaging are techniques to reconstruct the shape of an object by measuring
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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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Qualifications: Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering, Medical Physics, Mathematics, or a related field. Strong publication record and programming skills. Required Application
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Research Assistant to contribute to multiple federally and privately funded projects focused on the development of innovative techniques and hardware for magnetic resonance imaging (MRI), with an emphasis
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systems in the School of Public Health. Leverage software imaging and deployment tools (SCCM and JAMF) to install/update OS and applications on Windows and Mac computers. Document the maintenance conducted
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in the program and leads to improved outcomes for children, parents, and the community. Application Instructions Enter your full name, full address, email, and phone number(s) in the My Information
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and Employee Degree Program, Tuition Aid for external education, and Cornell Children's Tuition Assistance program Follow this link for more information: https://hr.cornell.edu/understand-your-benefits