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of in-person, online or blended learning. All of our system institutions place strong emphasis on service — helping to build healthier, more educated communities in South Carolina and beyond. Veterans
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Guilford Technical Community College | Jamestown, North Carolina | United States | about 24 hours ago
Number: 10633 Posting Type: Adjunct Faculty Job Description Summary: Teaching faculty at Guilford Technical Community College are responsible for supporting student success by creating an optimum learning
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The aim is to develop machine-learning models that describe how
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scales. We encourage the use of theory and computation as well as experiment, and welcome applicants who use machine-learning and artificial intelligence methods to enhance their research programs. We
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contribute to the development of innovative, physiology/ machine learning-driven clinical solutions and decision support tools for critically ill patients, focusing on cardiovascular and respiratory monitoring
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to learn new computer skills Willingness to learn techniques in computational science Able to handle multiple tasks or projects at one time meeting assigned deadlines SKILLS Excellent interpersonal
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, Skills, & Abilities ABILITIES Willingness to learn new computer skills Willingness to learn techniques in computational science Able to handle multiple tasks or projects at one time meeting assigned
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Projects (BCP)'s premises in Stockport. Company Information: To find out more about Business Computer Projects (BCP) go to https://www.bcpsoftware.com/about-us/ Qualifications we require: Hold, or be about
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at Minnesota State University Mankato More Jobs from This Employer https://main.hercjobs.org/jobs/22208790/assistant-professor-computer-information-science-ifo-aa27055 Return to Search Results
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of innovative multicriteria models for the management, integration, and enhancement of geological and geophysical data, using geostatistical, geomatic, and, where appropriate, machine learning techniques