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for entanglement detection and classification. The algorithms are supported by affordable, spatial surface and subsea sensing and a low-power edge computing to collect and compress datasets at-sea, allowing the
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be focused primarily on the development and application of novel computational algorithms to analyze and integrate diverse omics datasets, including bulk and single-cell RNA-seq, ADT-seq, ATAC-seq, DNA
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visualizations and reports, and contribute to the development of predictive models and algorithms. The Data Scientist will be responsible for developing and adapting data collection and analysis methods
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The Stanford Autonomic Disorders Program in the Department of Neurology & Neurological Sciences, is seeking to hire a Research Data Analyst 1 to manage and analyze large amount of physiological data
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/or experience with large-scale data analysis, algorithm development, or computational modeling. Required Qualifications: Doctoral degree in linguistics, cognitive science, psychology, hearing and
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Department. Computer Science website: https://cs.stanford.edu / Within the Stanford Artificial Intelligence Lab (SAIL ), the Stanford IRIS (Intelligence through Robotic Interaction at Scale) focuses
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and proposing the fundamental principles, algorithms, and implementations for solving high-level visual perception and cognition problems involving computational geometry, automated image and video
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and proposing the fundamental principles, algorithms, and implementations for solving high-level visual perception and cognition problems involving computational geometry, automated image and video
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in our department. For more information on our department, please see our website: https://med.stanford.edu/anesthesia.html Duties include: Collect, manage and clean datasets. Employ new and existing
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experimental neuroscience, computational neuroscience, and machine learning in an effort to discover algorithmic principles that bridge artificial and natural intelligence and link brains to intelligent machines