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-cell and spatial-omics research. The ideal fellow will be interested in developing and applying novel computational algorithms to novel datasets generated in the setting of non-neoplastic and neoplastic
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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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. Founded in 1965, the Stanford Computer Science (CS) Department continues to lead the world in computer science research and education influencing society at levels that remain without parallel among
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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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/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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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
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tools to interpret, analyze, and visualize multivariate relationships in data. Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data
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. Generate research insights using new and existing tools to interpret, analyze, and visualize multivariate relationships and trends in data. Create databases and reports, develop algorithms and statistical
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(locally and externally); the tuning, debugging, optimization, and enhancement of their existing algorithms on mid-scale HPC, cloud computing, and national facilities. ● Advise researchers in the best