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Description CEE575: Sensors & Data This course addresses the emergence of sensors and ?smart? systems. We will learn how sensors, internet-connected devices and real-time data are being used to build ?smart
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algorithms, and in collaboration with PFCs as needed. Prioritize patient placement from multiple in-coming locations, i.e., home, clinic, outside hospital transfers, PACU, and emergency departments from all
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., difference-in-differences, instrumental variables, propensity-score methods) and selected machine-learning algorithms. Write reproducible code in Stata, R, SAS, or Python; summarize and interpret results
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- Reinforcement Learning Algorithms COURSE SCHEDULE: April 1, 2026 - April 28, 2026 Number of available GSI positions: 1 position at .25 fraction, pending enrollment Number of positions reserved for PhD Students as
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, scientific computing and data visualization is required. Programming languages: Python, C/C++, Java Strong skills in Linux shell (e.g. bash) scripting Strong knowledge of data structures and algorithms
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Experience with NGS analysis pipelines, algorithms, and workflows, including bulk DNA/RNA-Seq and single-cell analysis Exposure to clinical data standards (HL7, FHIR, OMOP, DICOM) and experience working with
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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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big data and algorithmic decision-making have become more commonplace. Each week, students will have the opportunity to try their hand at analyzing big data from sources ranging from online dating
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. Provide accurate and timely follow-up with staff, patients and families. Process accurate and timely admissions as requested. Patient placement in accordance with placement guidelines, fill algorithms and
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sources including electronic health records (EHR), waveforms from bedside monitors, radiology images and wearable sensors. This position offers a unique opportunity to work closely with clinicians