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Responsibilities* Experimental responsibilities will include, but not be limited to: Develop and implement advanced AI/ML algorithms for image segmentation and registration Collaborate with diverse teams in
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algorithms, data sources and reporting processes. Conceptualize and develop cross-functional client/unit strategic objectives, business processes, and initiatives that drive or increase organizational value
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that includes conducting arrhythmia analysis. Interpret and document cardiac rhythms as directed by established patient care algorithms and quality assurance standards. Communicate with nursing units regarding
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* Technical development of control algorithms Analysis of large-scale datasets, applying control theory, developing real-time control software Validation and characterization of the developed control algorithms
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research projects, including: carrying out statistical and bioinformatics analyses, implementing algorithms for genomic analyses, developing computational workflows, and building visualization tools. As part
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Learning Algorithms --- This course covers the basic principles of reinforcement learning and popular modern reinforcement learning algorithms. Students will develop familiarity with both model-based and
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development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our Strategic Principles and has three critical components; patient care, education and
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accordance with placement guidelines, fill algorithms and in collaboration with PFCs as needed. Prioritize patient placement from multiple in-coming locations i.e. home, clinic, outside hospital transfers