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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 19 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