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translational research. Machine Learning, Statistical Modeling & Informatics Research Apply ML/AI approaches for pathogenicity prediction, phenotype clustering, or multimodal data modeling. Support translational
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beyond ITER with advances in HTS materials, manufacturing, sensors and machine learning. High current density cables are required for the design of compact HTS magnets in a fusion pilot plant (FPP
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clinical genetics and translational research for precision medicine programs. Advanced Analytics and Machine Learning Lead ML/AI approaches for pathogenicity prediction, phenotype clustering, or multimodal
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
-methods research methodology training, data collection and sampling design, and advanced statistical analysis to promote scientific rigor and reproducibility in AI- and machine learning-powered research
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of scholars and students at the forefront of computer vision research and material studies with longstanding research strengths in architectural history. The Center for Virtual and Material Studies (https
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and deployment of large language model–based platforms to support learning and research, as well as enhanced digital and high-performance computing infrastructure to enable data-intensive and AI
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opportunities; graduate/medical school and industry. The candidate will be involved in a series of research activities, including computational analysis of large-scale data sets generated in in vitro and in vivo
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Job Description OVERVIEW: The Computational Ophthalmology Lab is leading collaborative efforts on large multidisciplinary research projects, using Big Data and machine learning. The Research
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and workshops to campus-based students, and to produce and mark assessments on core and optional modules across our Data Science UG and PGT programmes such as: Data Analysis; Big Data Analytics
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writing course) 324: Social Network Analysis 327: Concepts of Machine Learning 357: Intro to Data Storytelling 426: Museum Informatics 496: Computer Networks 505: Information, Organization, and Access 510