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RNA-seq, ATAC-seq, and multiome datasets related to heart failure and cardiovascular biology. Develop and apply machine-learning and deep-learning approaches to identify disease-associated
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, representation learning, mechanistic interpretability, concept-based explanation, or visual analytics for machine learning. Experience developing and applying deep learning methods at medium to large scale
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. Experience*** developing and training deep learning models for computer vision, including convolutional neural networks (CNNs), vision transformers, and foundation models. Experience*** mentoring
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and computer science, with concentrations in cryptology and machine learning research. TIMC is seeking highly qualified researchers to contribute to the Foundations of Machine Learning research area
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and computer science, with concentrations in cryptology and machine learning research. TIMC is seeking highly qualified researchers to contribute to the Mathematical Foundations of Cryptography research
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experiential learning environment strongly preferred Record of scholarly or applied work in engineering education, curriculum innovation, or related fields is a plus Technical Knowledge & Skills: Deep
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 months ago
experience with remote sensing data, specifically LiDAR (e.g., GEDI), Synthetic Aperture Radar (SAR), and multispectral optical time-series. Experience exploring machine learning and deep learning
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Data Science Applied Machine Learning Applied Statistics(R) Capstone Projects - real-world projects and industry collaboration Computer Vision Data Visualization and Communication Deep Learning and
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
JOB DUTIES Description You bring more than skill, knowledge, and expertise to your role as an allied health professional. You bring a deep passion for improving the lives of everyone around you. At
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foster psychological safety. - Instructional Design & Adult Learning: Deep knowledge of adult learning theory, curriculum design, behavioral change models, and practical instructional design frameworks