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Pay Grade/Pay Range: Minimum: $48,600 - Midpoint: $60,800 (Salaried E7) Department/Organization: 750801 - Alabama Life Research Institute Normal Work Schedule: Monday - Friday 8:00am to 5:00pm
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: Course number and title: MIE1624F/S – Introduction to Data Science and Analytics Course description: The objective of the course is to learn analytical models and overview quantitative algorithms
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. Collaborate with JGI scientists and researchers across Berkeley Lab, including the Computational Research Division, to evaluate and implement new methods and algorithms that enhance system capabilities and
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Algorithms Agile Programming Applied Machine Learning Computer Graphics Web Design and Programming Cloud Technologies Advanced Databases and Big Data Introduction to AI Natural Language Processing DevOps Data
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 9 hours ago
Unit Computer Science Work Location 9201 University City Blvd Vacancy Open To All Candidates Position Designation Post Doc Employment Type Temporary - Full-time Hours per week 40 Work Schedule 8 hours
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machine learning algorithms. It also serves as a foundation for more advanced ML courses. The students will learn about ML problems (supervised, unsupervised, and reinforcement learning), models (linear and
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. Collaborate with JGI scientists and researchers across Berkeley Lab, including the Computational Research Division, to evaluate and implement new methods and algorithms that enhance system capabilities and
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that engender trust and espouse the values of fairness, safety, and privacy in digital technologies. Key Responsibilities: Conduct research into trust technologies testing – translating research algorithms, and
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highly motivated researcher to develop artificial intelligence based novel algorithms and computational workflows to predict the impact of mutations on genes in the avian flu virus and the viral host which
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. Development: Collaborating with the Learning Design Team to create and develop courses in our learning management system, ensuring timely delivery of course materials. Work Mode: Entirely remote Work Schedule