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USNH Employees should apply within Workday through the Jobs Hub app Position for a graduate student or adjunct to analyze ground magnetic field perturbations using machine learning techniques
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research university that provides an accessible, quality education through flexible learning and unparalleled internship opportunities. At UA Little Rock, we prepare our more than 8,900 students to be
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variety of people. Proficiency in computer systems and electronic communications. Able to occasionally work flexible hours to accommodate protocol needs. Minimum Qualifications High School Diploma
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in preparing study recruitment and education materials. Operating basic office machines. Provide office support as needed; includes filing, record keeping and other duties as assigned based
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partners in Thailand and Australia in a project funded by the British Council, and you will be responsible for investigating the latest developments in computer vision and Deep Learning to develop powerful
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learning, growth and productivity while affording a basic need to its students – a chance to advance. The 15:1 student to teacher ratio makes it possible to maintain a learning environment with close
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research university that provides an accessible, quality education through flexible learning and unparalleled internship opportunities. At UA Little Rock, we prepare our more than 8,900 students to be
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related). Technical Skills: Familiarity with artificial intelligence/machine learning techniques and data analysis. Experience with programming (Python or similar) and handling educational data is a plus
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, including: (i) estimating heterogeneous effects using RDD and causal machine learning methods; (ii) modeling dynamic longitudinal health data; and (iii) developing and refining statistical models and tools
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developing image analysis and machine learning algorithms and tools for aerial imaging and analysis. You will also contribute to data collection, data curation, and the development of a data portal for project