181 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Universidade de Coimbra" positions at Temple University
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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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allows the team members to communicate much more effectively and share information, improving the quality of care for each patient. The team at the Center of Hope is devoted to providing optimal care
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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