294 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"St" positions in United States
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and Responsibilities: 1. Develop, deploy, and manage a wide array of college and stakeholder content on Oakton's public website, ensuring timeliness, accuracy, and alignment with brand and accessibility
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electrode arrays - 20% data analysis with advanced methods such as multiple regression, fourier domain algorithms, modern statistical approaches - 5% paper preparation including writing text, making figures
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of existing applications to meet specific scientific project needs; support the development of data models, databases or software applications; produce, present and discuss high quality data analysis reports
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Responsibilities: Develop and monitor $3.8 million annual budget from the State of Florida Department of Health (DOH). The Director is responsible for expenditure control of annual operating budget. Direct
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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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atmospheric remote sensing from ground, airborne, and satellite platforms. Our group develops advanced algorithms and data analysis methods to address fundamental scientific challenges, including global cloud
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teamwork above all else. This position will be working in the exciting and dynamic fields of deep learning and medical imaging. The main focus will be to develop novel deep learning algorithms to analyze
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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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data sources in support of assigned research projects Designs reports, runs advanced queries, and develop and implement data transformation algorithms in existing database systems to support data