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products are engaging, user-friendly and optimized for search engines, including use of appropriate keywords, meta tags, headings, links, images and other elements. Implement quality control measures
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then quit smoking using nicotine replacement therapy and be followed for six months. State-of-the-art computer vision and machine learning techniques will be developed and used to increase our
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The University of Manchester The University is a global institution known for innovation and world firsts, with 25 Nobel Prize winners. The computer revolution started here in 1948 when a machine
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humans and society at large is either fully automated or heavily relies on automatically provided decision support. While machine learning approaches become increasingly prevalent in this context
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California State University, San Bernardino | San Bernardino, California | United States | 1 day ago
. The role will also involve color correcting, applying meta data to digital assets and some shooting. The ideal candidate will gain valuable hands-on experience in both photography and videography while
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with a range of computer systems and applications, including COVIDENCE and statistical software including R. Experience running and performing meta-analyses or network meta-analyses, including statistics
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Development and Sector Awareness • Stay current on fundraising trends, technologies, and best practices through ongoing learning. • Apply emerging strategies to enhance engagement and campaign innovation
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requirements for depositing data and following repository and meta-data specifications for data sharing. With guidance, locates and follows repository-specific requirements to submit study data for sharing
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members who have a passion for teaching and learning and a strong commitment to the missions and ideals of the community college. We are looking for excellent teachers who are student-oriented in
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psychoactive substances, in seized drug products or clinical samples. The candidate will have the opportunity to work directly with experimentalists to validate predictions made by their machine-learning models