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Field
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Health. Complex Procedure Scheduling Duties Determine if ancillary appointments (pre-procedure clinic evaluations, pre-anesthesia testing appointments, etc.) are needed according to scheduling algorithms
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into meaningful information using data-oriented programming languages and visualization software Develop and apply algorithms and prototypes to extract and analyze information from large structured and unstructured
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strong interest in machine learning and deep learning algorithms · Research and publication experience in health outcomes research Application Materials: · CV · Cover letter · Contact information for three
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of the Algorithms and Performance Analysis (APA) group, work with NCCS users across a wide variety of computational domains to enable their efficient use of the world class facilities provided by the NCCS. We seek
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education required Experience with analysis protocols and meticulous lab analysis methods is required. Experience with computer algorithms, higher level computing associated with Python code in the Linux
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multiple types of high-dimensional data. Researching and implementing novel algorithms for analysis of latent factors and their dynamics. Conducting literature searches, manuscript preparation, and
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industry. Strong knowledge of social media best practices and platform algorithms. Strong project management skills and ability to multitask in a fast-paced environment. Experience with social media
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apply machine learning algorithms to associate patterns in the data with cancer progression and therapeutic responses in cancer patients. Participate in generating data for grant reporting. Understands
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, construct quantitative models, conduct statistical analyses, build algorithmic trading systems, manage risk, develop new businesses, and more. Our trading desks are central to our collaborative and
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data input, files/database structures, data transformation, algorithms, and data output by using appropriate computer language/tools to provide technical solutions for highly complex application