279 algorithm-development-"Multiple"-"Prof"-"Prof"-"SUNY"-"Simons-Foundation"-"St" positions in United States
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Field
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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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/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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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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are looking for highly talented developers with experience and interest in state-of-the-art technologies, high performance computing (HPC), memory management, and dev-ops. You will enjoy being part of a world
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are looking for highly talented developers with experience and interest in state-of-the-art technologies, high performance computing (HPC), memory management, and dev-ops. You will enjoy being part of a world
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related field(s) 3. Three years of demonstrated, successful experience in algorithms development 4. Successful experience with modern C++ 5. Due to the requirements of our research contracts with the U.S
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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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demonstrated ability to apply these techniques in the biomedical or health informatics domain. Strong algorithm development and programming skills are required, along with excellent teamwork and communication
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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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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