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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 25 days ago
Temporary Staff (SHRA) Position Title Research Specialist Position Number 20062989 Vacancy ID S025362 Full-time/Part-time Full-Time Temporary Hours per week 40 Work Schedule Position Location North Carolina
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 25 days ago
Temporary Staff (SHRA) Position Title Research Technician Position Number 20063090 Vacancy ID S025361 Full-time/Part-time Full-Time Temporary Hours per week 40 Work Schedule Position Location North Carolina
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personal interviews Schedule subject participation in research clinical trial, coordinating availability of necessary space, and clinical research support (e.g., physician, nurse practitioner, laboratory
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on the development and maintenance of advanced pulmonary CT image processing algorithms and AI solutions aimed at improving lung disease diagnosis and treatment. This role offers an exciting opportunity to contribute
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/change data input, files/database structures, data transformation, algorithms, and data output by using appropriate computer language/tools to provide technical solutions for highly complex application
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advanced statistical methods to mine and analyze complex and unstructured data sets. Offers complex analysis and utilizes advanced algorithms and statistical software. Adheres to all protocols. Essential
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unit test frameworks and gain experience in graphical user interface design and algorithm development. Estimated course enrolment: ~360 Estimated TA support: TBD Class schedule: Timetable Builder
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Sessional Lecturer - AMS402H1F: Interfacing Cultures: AI, Platforms, and Algorithmic Politics Across
Study of the United States is seeking to hire one Sessional Lecturer for the following course: Course number and title: AMS402H1F: Interfacing Cultures: AI, Platforms, and Algorithmic Politics Across
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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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number of areas including resource and data management, job scheduling, provenance tracking, and the use of clouds for science. Her group has led the design and development of the Pegasus Workflow