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Ensures safe care to patients, staff and visitors; adheres to all Memorial Hermann policies, procedures, and standards within budgetary specifications, including time management, supply management, productivity and quality of service.
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As a member of the Mayo Clinic Care Network, the providers have access to clinically integrated tools and are committed to providing the highest quality, data driven, evidence-based medical care and treatment.
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Works out the details of functional and design requirements, systems design, programming specifications, data elements, data validation specifications, data capture mechanisms, and data conversion procedures through discussions with Government staff and own superiors.
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These techniques and systems benefit from big data, data mining, artificial intelligence, machine learning, cloud computing, & many other advance technologies. Our team needs a Staff Machine Learning Engineer with proven knowledge of web application and web service development who will focus on crafting new capabilities for the AI Platform while maturing our code base and development processes.
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As a Patient Care Nurse Assistant (PCNA) in the Surgical Intensive Care Unit (SICU), you will assist the nursing staff and ensure all patients' needs are addressed. Provides RN/LPN with accurate and timely intake/output data, vital signs, blood glucose results and other data as assigned.
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Must attend 24 clock hours of professional development and staff training per year to include: active supervision, safety practices, training that improves child and family outcomes, training on methods to handle suspected or known child abuse and neglect cases that comply with applicable federal, state, and local laws, and any other trainings as outlined by the Head Start Performance Standards and Child Care Regulation from the State of Texas.
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School Operations/Data/Finance Management Roles at multiple partner school sites (school-specific role descriptions available upon profile approval). School Data Management. School Operations/Data/Finance Management Roles at multiple partner school sites (school-specific role descriptions available upon profile approval.
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Expert skills in MS Excel working with large data sets, including the ability to utilize the following functions: V-Lookup, H-Lookup, concatenating formulas, conditional formatting, and Pivot Tables.
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Currently reside in (or willing to relocate to) one of our school regions. Approved to access our full library of educator resources (blog, course modules, webinars, and more) on everything from acing the teacher interview to classroom management.
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Access our library of educator resources to help you thrive in your position. Provided with 1:1 candidate search support to turn to for interview prep and professional development opportunities. Only one application is needed to be considered by all relevant schools —our schools will then reach out to you with their matching vacancies and directions.
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Analyzes production processing to identify viable systems improvements in application response, usability, flexibility, and data integrity. Oral Communication- briefing mid-level management and IT staff on the status of information technology systems, projects, or daily operations, including the communication of technical information to a non-technical audience.
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The position must be able to consult and advise all levels of staff across a broad multitude of subjects, including but not limited to employee relations, performance management, talent and organizational development, compensation, diversity, equity and inclusion ("DEI") and employee engagement to recommended solutions and guidance that embodies Earthjustice's core values and strategic objectives.
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Confers with staff to outline work plan and assign duties, responsibilities and scope of authority; provides business staff with technical advice and problem resolution; implements solutions in response to issues, customer complaints, regulatory changes, and insurance related updates in order to promote timely and efficient revenue cycle operations.
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Provide general and application specific technical support to customers to ensure the availability and continuity of business applications or programs in the production environment, from workstations to network servers, drawing on support from other IS staff if needed.
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Desired areas of expertise include any of the following: data science and engineering, artificial intelligence and machine learning, autonomy, algorithm development, prototyping, data infrastructure and analytics, modeling and simulation, and radar signal processing.
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