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Classification Title: INSTRUCTOR/PKY Job Description: You belong at a K-12 teaching and learning environment that’s leading the way! The Opportunity and Job Description P.K. Yonge Developmental
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ability to analyze large datasets Knowledge of coastal and nearshore processes Preferred Qualifications: Proficiency in statistical modeling and time series analysis Experience with machine learning or deep
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integrated circuits (IC) and printed circuit boards (PCB). Additionally, the candidate should demonstrate expertise in applying computer vision, image analysis techniques, machine learning, deep learning to IC
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well as the underlying signaling network for a variety of diseases including aging, cardiovascular diseases, brain diseases, cancer, et al., through novel statistical or deep learning methods development and application
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journal publications and/or technical reports on high-impact biomedical informatics journals and conference proceedings. Expertise in deep learning software packages (e.g., PyTorch, TensorFlow). Interest
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data analysis and visualization. The faculty member’s research program is expected to develop and incorporate novel algorithms and frameworks, such as deep learning, parallel and distributed computing
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Libraries to lead the George A. Smathers Libraries in advancing research, learning, and innovation. Reporting to the Provost and serving as a member of the Council of Academic Deans, the Dean will oversee