285 algorithm-"Multiple"-"U"-"Prof"-"Prof"-"Simons-Foundation" positions in United States
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on developing innovative algorithms and models to address sophisticated problems in diverse fields such as robotics, healthcare, and finance. The department offers a range of undergraduate and graduate programs
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, developing, and implementing AI systems and data pipelines that enhance and automate university operations across multiple departments. This role is crucial in transforming manual processes into AI-driven
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systems and data pipelines that enhance and automate university operations across multiple departments. This role is crucial in transforming manual processes into AI-driven solutions, focusing on building
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structure data to test existing algorithms and design improved methodologies for clinical applications. Purpose The Research Engineering Scientist Assistant will support research in AI for healthcare and drug
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following areas of research: Economics and Statistics. Specific duties include: ? Collect, clean, and maintain datasets and databases. Extract and link data from multiple databases for analysis. Prepare
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languages; writing and testing logic in hardware description languages; developing and testing signal processing algorithms from concept to implementation; and performing systems integration and testing
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and testing software in high level languages; writing and testing logic in hardware description languages; developing and testing signal processing algorithms from concept to implementation; and
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Health Access Services This position will be responsible for performing essential tasks required for the creation and revision of Epic scheduling decision trees (algorithms) and for leading other Maestro
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multiple labs and faculty across the Stanford campus, including the Wu Tsai Neurosciences Institute, Stanford Bio-X, and the Human-Centered Artificial Intelligence Institute. Leveraging cutting-edge advances
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for fully automated analysis of nuclear cardiology data using novel algorithms and machine learning techniques, and on the development of integrated motion-corrected analysis of positron emission tomography