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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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artificial intelligence, machine learning, IoT, and their security implications for organisations and society. •Misinformation – Analysis of the creation, spread, and impact of false or inaccurate information
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Strong organizational abilities Computer proficiency and experience with basic software including MS office programs (e.g., Word, Excel, Powerpoint); ability to learn new software programs as needed
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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days 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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, typically gained through completion of an undergraduate degree in a related field. General computer skills and ability to quickly learn and master computer programs. Ability to work under deadlines with
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, typically gained through completion of an undergraduate degree in a related field. General computer skills and ability to quickly learn and master computer programs. Ability to work under deadlines with
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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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Position Overview School / Campus / College: College of Engineering Organization: Electrical and Computer Engineering Title: Research Assistant Professor (Non-Tenure) - Li Lab Position Details