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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 8 hours ago
including case-based instruction, large-and small-group discussion, clinical, lecture, demonstration, and simulation. The positions would also include participation in the faculty practice clinic
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. An applicant is required to have a Doctoral Degree in Hospitality and Tourism Management or a related field (e.g., Data Analytics, Big Data, Entrepreneurship, Asset Management, AI), preferably with extensive
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The Pathology Department is seeking a Biostatistician who will analyze large scale, longitudinal data. Analyzed data is abstracted and extracted from electronic health records, laboratory and pharmacy databases
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for, and biological mechanisms that underlie severe psychiatric disorders. Data manger will be responsible for data management in a study that uses big data to determine how deviations from pediatric
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, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation. See https://equity.unl.edu
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or invertebrates in the Midwest Field crew supervision experience Experience that demonstrates management of large databases Experience formatting input files for and analyzing demographic data with MARK or DISTANCE
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NIST only participates in the February and August reviews. There is a growing need for high-performance materials for various technological applications. To address this need, the NIST-JARVIS (https
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courses in introductory and intermediate Latin, as well as large first year courses in Roman Civilization and Classical Mythology. Further information about the Department is available on our website: http
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to learn, and willing to share extensive experience with fellow team members. Outstanding communication skills are a must. You will have the opportunity to lead medium and large projects and initiate new
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the establishment of a gateway for easy access to the Pilot Line services. This involves generation of large data sets, including those related to the development, setting up, material supply, equipment procurement