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Disorders program. Active participation in collaborative problem solving with multidisciplinary teams across practice settings and the continuum of care both within and external to Michigan Medicine. Support
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, implement, and validate computational models and innovative algorithms to address core challenges within MCAIM. Collaborate with interdisciplinary teams across mathematics, computer science, and biosciences
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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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Inclusive History Project (IHP) Program Assistant will play a key role in supporting the development and execution of the Urban Renewal Exhibition, while also contributing to broader research on urban renewal
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Apply Now Job Summary This is a Temporary RN position for Briarwood 2-Women and Children, Briarwood Family Medicine, Chelsea Health Center, Dexter Health Center with potential to work in other locations with expansion of division. * Please note that these positions do not qualify for UMHS...
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) that will make use of various machine learning algorithms for attack vectors and vulnerabilities, such as intrusion detection, malware analysis, spam filters, anomaly detection, etc. Supervised, unsupervised
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of the life of patients. In this position, you will join a multidisciplinary team at the intersection of bioinformatics, clinical informatics, and artificial intelligence. You will have a key role working with
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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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numeric computation. Dynamic programming. Graph algorithms including DFS and BFS. Probabilistic algorithms. Introduction to complexity theory. Graded ABCDE/Y Responsibilities* Enter student assignment and
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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