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data into the software database. Aid in the development of processes, applications, and reports to enhance the efficiency of delivering and integrating Performance Science data into the database
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working in the exciting and dynamic fields of deep learning and medical imaging. The main focus will be to develop novel deep learning algorithms to analyze medical imaging data (e.g., ophthalmology
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the CCIA team and coordinate with CCIA stakeholders and campus systems. Preferred Qualifications Experience in developing and deploying web applications that are accessible across multiple operating systems
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complex process often requiring multiple calls to the patient, referring physician, previous facilities/providers to request records and record review with the clinical team. Independently determine
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data and developing the algorithms and tools that enable the work of their team. Thus, the ideal candidate for this position must have a biological background, the ability to translate scientific
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, and visualization techniques to assist with the development, evaluation, and/or applications of algorithms, methods, and software for data analysis. Responsibilities include querying databases, data
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management systems in complex organizations with multiple stakeholders, authors, and editors. Proven experience in marketing, with a focus on strategic marketing leadership and management within the digital
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 14 days ago
of the most diverse health databases in history. Nutrition for Precision Health, powered by the All of Us Research Program is a new initiative to develop algorithms that predict individual responses to food and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
of the most diverse health databases in history. Nutrition for Precision Health, powered by the All of Us Research Program is a new initiative to develop algorithms that predict individual responses to food and
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for outcome assessments for a range of brain diseases. The individual will schedule, train, and supervise research assistants, students, and instructors. They must ensure: 1) patient confidentiality and safety