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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
close collaboration with a specific group (DARSA) specialized in developing and applying remote-sensing tools and innovative open-source machine-learning methods. Key responsibilities Develop effective
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of machine learning or quantum computing Programming skills in Python and/or C/C++ Experience with scientific software tools and numerical libraries Familiarity with Linux-based computing environments Ability
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equipment such as computers, copy machines, and fax machines. While performing the duties of this job, the employee is frequently required to walk/move, sit, and stand for prolonged hours; handle objects
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such as R, SAS, ArcGIS, SQL, Python and AI tools. Conducts geospatial and epidemiologic analyses relevant to the catchment area to assess cancer outcomes, spatial patterns, temporal trends, and disparities
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analysis software and scripting languages (e.g. R). RESPONSIBILITIES Research Data Processing: Process raw sequence data including quality control, alignment, and normalization with command line tools (e.g
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maintaining an exceptional customer experience Assists with maintaining OU IT Service Desk AI chat technology Actively collaborates with team members via internal collaboration tools to answer questions and
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California State University, San Bernardino | San Bernardino, California | United States | 3 days ago
. - Organizational skills, time management, and the ability to balance multiple tasks effectively. - Willingness to learn new tools and technologies, including Microsoft Office Suite and social media platforms
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The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
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close collaboration with a specific group (DARSA) specialized in developing and applying remote-sensing tools and innovative open-source machine-learning methods. Key responsibilities Develop effective
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. Experience with Windows, Excel, Access, and Intranet/internet navigation tools. Minimum of 3 years pharmacy experience preferred. Knowledge of Medicare and commercial insurance reimbursement is expected along