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sport contact for multiple sport programs, which are to be determined,, while helping assist in the production of our in-house football show. ● Execute and deliver intro videos for specific teams, as
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principles that regulate host-pathogen interactions and feedback, using a combination of quantitative imaging, microfluidics, statistical analysis and machine learning tools. A specific focus will be put
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CNC machines is advantageous) experience in or willingness to learn to use CAD and CAM software (SolidWorks and Mastercam or similar) proven ability in CAD/CAM programming, with experience
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computer Ability to determine the appropriate tools and equipment needed on the job and use them safely May be required to acquire and maintain asbestos abatement, supervisor certification or other OSHA
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Sign In Create Profile Staff Technician (Safford, AZ) (Multiple Positions) Safford, AZ, United States | req23823 Apply Now Share Save Job Posted on: 9/3/2025 Back to Search Staff Technician (Safford
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to machine learning human subjects research and or programming languages. Anticipated Pay Range: Duke University provides an annual base salary range for this position as USD $20.76 to USD $31.44. Duke
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
campus, world-class medical care, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn. One of the best college towns and best places to live in
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following mandatory requirements: a) A completed degree in Computer Engineering; b) Good knowledge in the areas of Machine Learning, Natural Language Models, and Computer Security – information to be provided
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analytics (statistical models, machine learning, uncertainty quantification) to monitor and predict cycling travel conditions from various perspectives (safety, crowding, travel time, comfort, etc
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electronic health records (EHRs) from multiple UK hospital centres using advanced data analytics including machine learning, deep learning, and statistical techniques—with a particular emphasis on deep