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in statistical and computational methods including machine learning to advance our understanding, treatment, and prevention of human disease. The Centre will be anchored at Aarhus University with hub
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through external grants or other mechanisms. External funding is also expected to support student research and experiential learning opportunities. The specific appointment split will be determined based
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approaches for using machine learning to analyze X-ray data, particularly Resonant Inelastic X-ray Scattering (RIXS). The position will collaborate with experts in RIXS experiments (Mark Dean), computational
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Microsoft Office, XOS, Hudl, and ability to integrate computer information technology systems into all aspects of the departments affairs is preferred. Skills and Knowledge: Demonstrate knowledge of football
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of DRG coding mission within UCSF Health. Demonstrate understanding of DRG coding, AR, and data submission information flow. Ability to solve problems and troubleshoot computer issues. Perform data
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
, or other novel/emerging pollutants - Developing / implementing advance machine learning algorithms for environmental datasets - Attention to detail and careful documentation of work products such as How
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degree required. Minimum of three years experience in a college football setting. Proficiency in Microsoft Office, XOS, Hudl, and ability to integrate computer information technology systems into all
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. Qualifications High School diploma or equivalent. Candidate must be Customer Service oriented. Must possess physical security experience, past law enforcement, or a military background deemed equivalent to meet
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science methodologies (e.g., machine learning). Experience working with large-scale environmental and remotely-sensed datasets, strong proficiency in R and version control tools (such as GitHub), and
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Position Details Position Information Recruitment/Posting Title Executive Director for Learning Assistance and the Academic Excellence Centers Job Category Academic - Academic Department Academic