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independence when following established protocols and procedures. Research protocols include tissue culture and use of animal models in conjunction with molecular and cellular assays as needed to support the
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Professional Practice Model. The CCL fosters RN engagement and retention by promoting excellence, ethical practice, and continuous improvement. Join us in a role that empowers you to lead, mentor, and contribute
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Professional Practice Model. The CCL fosters RN engagement and retention by promoting excellence, ethical practice, and continuous improvement. Join us in a role that empowers you to lead, mentor, and contribute
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to regulate energy balance, uncovering secreted proteins and lipid pathways that may become new therapies for heart failure and cardiometabolic disease. Our team uses mouse models of exercise and heart failure
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to study chromatin and gene regulation in mammalian cells and human disease systems. Current ongoing projects include: statistical modeling and advanced machine learning/AI method development for predicting
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designed for cutting-edge engineering applications. Additional requirements include proficiency with C++ and parallel programming models, experience developing complex simulation software as part of a
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Scope and Standards of Practice and Code of Ethics, organized within the UVA Nursing Professional Practice Model. The CCL fosters RN engagement and retention by promoting excellence, ethical practice, and
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are behaviorally based and reflect the ANA Scope and Standards of Practice and Code of Ethics, organized within the UVA Nursing Professional Practice Model. The CCL fosters RN engagement and retention by promoting
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behaviors are behaviorally based and reflect the ANA Scope and Standards of Practice and Code of Ethics, organized within the UVA Nursing Professional Practice Model. The CCL fosters RN engagement and
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Technician 2 or Laboratory Specialist (varying levels), depending on your qualifications and experience. This position will play a vital role in groundbreaking research investigating sphingolipids in models