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models for high-dimensional and functional data ”, led by Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available
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to other TIE Program offerings as needed. The position emphasizes experiential, project-based learning and draws on real-world startup and innovation experience to equip students across disciplines with
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themes (Digital Health, Digital Humanities, and Machine Learning) or focus on HPC applications and digital research infrastructure more broadly. We are looking for four interns who are interested in
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) Focus on Microbiome Data Science and Explainable Machine Learning Core research themes We are looking for motivated and skilled students to join our research team in the field of plant microbiome data
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curriculum incorporating lecture, lab and small group learning. Duties & Responsibilities: Teach small animal clinical and surgical skills and communication and professionalism to DVM students using models
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for the analysis of hyperspectral imaging data applied to pictorial layers, based on coupling physical radiative transfer models (two-flux and four-flux approaches) with machine learning methods. The researcher will
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programs in elementary, secondary, and special education, and a doctoral program with multiple specializations. To learn more about the SOE, please visit http://education.ucr.edu . Teaching Responsibilities
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, San Francisco, California. Please only apply if you can teach in person at this location. Teach Applied Investing to the Next Generation of Finance Leaders We are seeking a practitioner-oriented Ph.D
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 14 days ago
data analysis methods to study biological memory circuits and their applications to machine learning. Building on recent work from the Fiete Lab, the role focuses on identifying principles of biological
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of Visiting Assistant Professor, beginning July 1, 2026. We seek candidates to teach an intermediate-level course on environmental justice, an introductory course in environmental studies, and an additional