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acquisition and management. This role directly builds upon Ph.D. research by applying advanced 3D imaging, algorithm design, machine learning, software engineering and visualization techniques to a real-world
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funding availability. Responsibilities • Design and implement deep learning architectures, AI agent pipelines, and computer vision algorithms to achieve project goals (33%) • Conduct full stack development
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strong interest in machine learning and deep learning algorithms · Research and publication experience in health outcomes research Application Materials: · CV · Cover letter · Contact information for three
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, while contributing to development efforts from algorithm design and testing, synthetic data generation, user interfaces, and model deployment. Initial appointments will be for one year with
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deep learning architectures, AI agent pipelines, and computer vision algorithms to achieve project goals (33%) Conduct full stack development efforts including UI/UX, code maintenance, and deployment
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qualified candidates to apply for a postdoctoral research position. The research will focus on statistical modeling, machine learning and trustworthy AI to develop effective and efficient algorithms
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supervision conferring with higher levels only in unusual situations. 8. Performs other job-related duties as required. Responsibilities: -Develop and implement advanced numerical algorithms and deep learning
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. Leverages data analysis and web development skills to build a platform that optimizes matching algorithms, provides intuitive user experiences, and integrates comprehensive data analytics tools. 1. Manages
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algorithms for advanced and multi-modality imaging. Work on system designs, physics models, computation, benchtop experiments with small animals, and clinical translation. Additional areas of interest are in
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multi-modality and advanced imaging systems. NIH-funded projects on benchtop experimental/ prototype imaging system development and algorithms for advanced and multi-modality imaging. Work on system