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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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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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Basque Center for Macromolecular Design and Engineering POLYMAT Fundazioa | Spain | about 1 month ago
(Python, Matlab, etc.) as well as in modeling polymerization processes or using machine learning techniques is highly desirable. Good command of written and spoken English is a must (if preselected, an
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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health
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models, multi-view computer vision, semantic graph-based representations, and self-supervised learning—to automatically interpret and understand complex surgical procedures. The overarching goal is to
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modelling, machine learning, growth mixture modelling). Excellent skills in statistics and advanced quantitative data analysis, including strong skills in command driven programming languages (e.g., STATA, R
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, United States of America [map ] Subject Areas: Electrical and Computer Engineering / artificial intelligence , Artificial Intelligence and Machine Learning (AI/ML) Starting Date: 2026/01/01 Salary Range: $62,232-$80,000
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offers bachelor’s and master’s degrees in engineering, computer science, machine learning, user experience, construction management, actuarial science, business and nursing. With about 3,000 students
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The Stankovic Laboratory at Stanford University School of Medicine seeks a highly motivated research scholar with expertise in data science, epidemiology, and computational analysis of large-scale
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the end-to-end discovery process, including data preparation, statistical analysis, and methods for extracting meaningful insights from large datasets. Core machine learning techniques such as decision tree