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master’s, PhD, or MD/PhD program in computer science, data science, biomedical informatics, engineering, biostatistics, or a related field Experience with Python and machine learning methods Interest in AI
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours ago
is also leading the development and validation of novel machine learning methods for LEGEND simulations and analysis. We have been heavily involved in constructing, commissioning, and operating
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Professor. Candidates should have: A PhD in English linguistics or literature by the start of the appointment, a record of publications, preferably in leading journals, and demonstrated capacity to obtain
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and engineers. Key Responsibilities 1. AI Model Development & Testing Assist in developing machine learning and deep learning models for medical imaging analysis. Implement and fine-tune models using
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We are seeking a highly motivated individual- either a Grade 7 PhD holder, or a Grade 6 graduate - to join the EYESAVE project, funded by the Vivensa Foundation Trust, as a Patient and Public
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., MD, PhD, MPH, or related programs). The role is entry-level in scope and provides close mentorship and supervision while offering a steep learning curve. The anticipated term for this position is two
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, simulations, AI, and machine learning applied to proteins. A track record of research outputs, including publications and presentations at national or international level. Excellent communication and
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Position Overview School / Campus / College: College of Engineering Organization: Electrical and Computer Engineering Title: Research Assistant Professor (Non-Tenure) - Li Lab Position Details
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machine learning to support early detection and prioritisation of patients at risk of vision loss. The role involves leading PPIE activities to ensure that patient perspectives and lived experiences shape