182 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" positions at Temple University in United States
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uploading x-rays and other patient related data into axium, pouring and trimming dental impressions, ordering and maintaining supplies, troubleshooting dental equipment and instruments, maintaining logs
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to utilize data and insights to determine decisions. * Ability to work well under pressure. * Demonstrated ability to effectively and collaboratively work as part of a cross-functional team. * Ability to work
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procedures including assisting with bracket placements and adjustments, removing/replacing arch wires, fitting bands, taking x-rays using digital imaging and uploading x-rays and other patient related data
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Identifiable Information (PII) * This position is On-Site Required Education and Experience * Master’s degree. * At least eight(8) years of experience in development, constituent, or campaign management
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considered. Required Skills and Abilities: * Demonstrated computer skills, and proficiency with database and spreadsheet software programs including Microsoft Office, Teams, Adobe, and Power BI * Demonstrated
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State (https://www.boisestate.edu/ctl/resources/initiatives__trashed/implementing-a-framework-for-assessing-teaching-effectiveness-ifate/#get-involved) Course Design: Designs course materials in alignment
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computer programming for health data analytics using Python and/or R, applications of artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) in healthcare, health data
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demonstrated versatility in teaching various courses, including but not limited to the areas of computer programming such as Python and R, health application development, health data management and SQL, Machine
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models (LLMs) in health data analytics. The position requires a demonstrated commitment to foster interdisciplinary collaboration with colleagues in public health, medicine, computer science, engineering
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underlying spatial data, high-dimensional and big data (e.g., data from wearable devices, electronic health records), Bayesian statistics, and learning algorithms as novel data analytical tools in applications