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ensures compliance with current and developing industry standards. The metadata managed in this role encompasses both descriptive elements and non-descriptive elements, such as administrative metadata and
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. Prepare the area for the comfort and safety of the patients to provide the maximum therapeutic value of the session. Supervise adjunct staff/students when necessary When involved in a functional therapeutic
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with numerical modeling codes such as ASPECT or Underworld Geodynamics (UWG). Preferred Qualifications: Familiarity with landscape evolution modeling tools like Fastscape or BADLANDS is highly desirable
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determinants of pathogenesis and immune neuropathology. ● Conduct experiments using recombinant approaches to generate and evaluate reverse genetics modified recombinant POWVs, develop potential recombinant
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of a transformative effort to position Stony Brook University as national leaders in ethical, equitable, and socially engaged AI research, education and policy development. DTAS builds upon
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evaluation. Experience in international territory management and development. Experience working with diverse populations. Experience and knowledge with higher education technology platforms, i.e., SLATE
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or other evidence synthesis projects. Experience with collection development and evaluation of information resources. Interest in leveraging emerging technologies, including artificial intelligence (AI
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determinants of pathogenesis and immune neuropathology. ● Conduct experiments using recombinant approaches to generate and evaluate reverse genetics modified recombinant POWVs, develop potential recombinant
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graphical and tabular data presentations. Present analyses of data projects, explain trends and areas of opportunity to CDI management. Develop dashboards, graphs, and tabular type reports for coding
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evaluation. Experience in international territory management and development. Experience working with diverse populations. Experience and knowledge with higher education technology platforms, i.e., SLATE