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computer skills and ability to quickly learn and master computer programs. Experience in data science with applied statistics, visual and communicating data Proficiency with Microsoft Office, Word, Excel and
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Suite. Basic analysis and problem solving skills. Customer service skills. Relevant computer systems/technology experience. Understanding of financial transactions. Ability to learn compliance with legal
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-throughput experimental data with machine learning methods. The successful candidate will focus primarily on developing and implementing the experimental technologies that enable these large-scale measurements
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into the future. Strong candidates will be expected to have > 5 years of experience in these areas. Significant Data Science/Advanced Computational Modeling/Machine Learning/Big Data Analytics Experience and
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This is an exciting opportunity to work on brain imaging studies of cognitive function and dysfunction, cognitive development and learning disabilities. The successful candidate will participate in all
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. Research Themes and Projects: We are an interdisciplinary research team integrating single-cell and spatial genomics, lineage tracing, synaptic proteomics, functional perturbation screening, and machine
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, across all of Stanford's seven schools -- while also supporting and learning from each other in cross-project endeavors. We maintain and steadily improve an advanced research computing facility, and we
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machines that both learn from humans and help humans learn. The postdoctoral fellow will lead a project using AI technologies to support active learning in young children, by empowering them to create
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fluency in both spoken and written English Familiarity with machine learning, information theory and signal processing. Experience with algorithm development Familiarity with basic molecular biology
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strong, demonstrated interest to conduct academic research in a relevant field Interest in legal research Interest in causal inference and social science Experience with machine learning / deep learning