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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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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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/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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new and existing tools to interpret, analyze, and visualize multivariate relationships and trends in data Create databases and reports, develop algorithms and statistical models, and perform 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
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. Prior Research Fellows have been accepted by PhD programs in computer science, economics, and political science and JD programs at top schools (e.g., Harvard, Stanford, Princeton, Yale). In recent years
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computer science, operations research, applied math, statistics, or a related field Strong background in machine learning, optimization, and/or algorithm design Excellent written and verbal communication skills
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questions. Assist researchers in the identification of appropriate computational platforms (locally and externally); the tuning, debugging, optimization, and enhancement of their existing algorithms on mid
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together experts in systems neuroscience, AI, and engineering. This ambitious initiative promises to offer unprecedented insights into the brain's algorithms of perception and cognition while serving as a