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mechanisms of neurodegenerative diseases, including Alzheimer’s disease, Parkinson’s disease, and ALS. Our research utilizes a multidisciplinary approach incorporating mouse models, molecular/cellular biology
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development, relationship management, ability to analyze and evaluate ventures, financial modeling, market analysis, and strategic planning is required. Understanding of business models and drivers of success
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transitions in and out of campus housing, accurate data reporting, and collaborative partnerships across departments. As part of our integrated residential education model, you’ll work closely with professional
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murine- based models to conduct experiments to evaluate molecular transcriptomic, proteomic, and functional alterations in response to a variety of conditions. This work will be important for
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staff, key stakeholders, partners, and community members to support educational programs and activities for youth based on the community needs and the 4-H model. Will work with the 4-H Educator and other
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 7 days ago
Science: data mining and statistical analysis, data storage and management, cloud storage and distributed computing, data engineering, data warehousing, data modeling and visualization, data analytics
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models to establish targets for sepsis treatment in these preclinical studies. Collaborates with sepsis and vaccine scientists associated with the lab. A research scientist in the McCommis lab will conduct
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, coordinating, delegating and evaluating the nursing care of patients in alignment with the professional practice model. Minimum Qualifications Empty heading For Hire: Degree in Nursing from a CCNE (Commission
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, implementing, coordinating, delegating and evaluating the nursing care of patients in alignment with the professional practice model. Minimum Education Required - 2-Year College Degree - Degree in Nursing from a
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data efficiency. Decision Making/Autonomy (10%) – Lead architectural and data design decisions; prioritize experiments aligned with program milestones; evaluate trade-offs between model accuracy and