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Bioinformatics, as well as the Departments of Biostatistics & Biomedical Engineering, University of Michigan is seeking a postdoctoral fellow for bioinformatics problems involving quantum machine learning and
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Engineering (ECE) Division, is searching for a Lecturer I to teach EECS 452 during the Fall 2025 semester. EECS 452, Digital Signal Processing Design Laboratory (4 credits) is a senior/graduate design course
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health records (EHR), waveforms from bedside monitors, radiology images and wearable sensors. This position offers a unique opportunity to work closely with clinicians on applications of machine learning
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courses; we also help students learn teamwork and address questions of ethics and social impact. We regularly team-teach courses with both technical communication and engineering (technical) faculty. Our
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., large, longitudinal, clustered data sets). The ideal candidate will be proficient in a diverse range of advanced statistical techniques, such as mixed models, machine learning, and mediation analyses, and
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, for example: Databases and data management; Software engineering; Machine learning; Neural networks; Natural language processing; Modern statistical methods. Experience with collaborative online research
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. Provides input into the development of mathematical and/or computer models for analyzing experimental data. Trains users in equipment operation and laboratory techniques. Explains and demonstrates
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in the position and outline skills and experience that directly relate to this position. Course Description Epid 708 - Machine Learning for Epidemiologic Analysis in the Era of Big Data The course
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Qualifications* Master's or PhD degree (completed or expected soon) in computer science, computer engineering, or a closely related discipline Experience in machine learning and/or artificial intelligence
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an expert user of molecular modeling tools and a resource for other users on campus. Support screening campaigns with DNA-encoded libraries through triage and development of machine learning (ML) models