182 algorithm-"Multiple"-"Prof"-"Simons-Foundation"-"DIFFER" uni jobs in United States
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statistical analyses are needed. The incumbent will work closely with USC researcher teams to design analysis specifications, including input data specifications, data cleaning, algorithms, and interpretation
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are needed. The incumbent will work closely with USC researcher teams to design analysis specifications, including input data specifications, data cleaning, algorithms, and interpretation of results
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and Physics at Syracuse University invite applications to fill multiple faculty positions in the field of quantum information science, broadly defined. Faculty will be appointed in either
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on the development of artificial intelligence/machine learning algorithms to integrate multiple sources of patient-derived data, such as optical coherence tomography (OCT), retinal fundus photography (RFP), electronic
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. The research involves the development of machine learning algorithms and MR pulse sequences for next-generation computational MRI. The research will be conducted at the Electrical and Computer Engineering and
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stimulating environment with some of the world?s top researchers and physicians. The qualified candidate will specifically focus on developing new algorithms for the analysis of epigenomic datasets derived from
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/database structures, data transformation, algorithms, and data output by using appropriate computer language/tools to provide technical solutions for highly complex application development tasks. Direct
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: Artificial Intelligence, including but not limited to Machine Learning, Responsible AI, and Computer Vision; Theoretical Computer Science, including Algorithms, Algorithmic Fairness, Game Theory, and Learning
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networks, transformers, and diffusion models. Proven experience building AI solutions using classical ML algorithms such as decision trees, gradient boosting machines, and shallow neural networks
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comprehensive scheduling algorithms) and handle sensitive information with confidentiality. Ability to work independently on a wide variety of tasks – both simple and complex - with minimal supervision and