259 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at Stanford University
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principals to problem solve work. Ability to maintain detailed records of experiments and outcomes. General computer skills and ability to quickly learn and master computer programs, databases, and scientific
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of experiments and outcomes. General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications. Ability to work under deadlines with general guidance
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, machine learning, statistics and programming skills (R and Python) is preferred. Record of peer-reviewed publications. Knowledge in one or more of the following areas is desirable: single-cell profiling
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join our team! Learn more about our team here: https://med.stanford.edu/lcgm.html . Duties include: Perform increasingly complex chemical, biochemical, biological and/or microbiological testing, assays
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skills and demonstrated experience with office software and email applications Demonstrated success in following through and completing projects Excellent organizational skills and attention to detail
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to apply theoretical knowledge of science principles to problem solve work. Ability to maintain detailed records of experiments and outcomes. General computer skills and ability to quickly learn and master
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and early-onset cases without a known genetic cause. We are also interested in genetic interactions (epistasis), tandem repeats, machine learning, and other areas of AD research that have not yet been
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theoretical knowledge of science principals to problem solve work. Ability to maintain detailed records of experiments and outcomes. General computer skills and ability to quickly learn and master computer
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reports to the Assistant Director of Administrative Learning & Development, Department Liaison. Stanford Law School, on the campus of one of the world's leading research universities, offers unmatched
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graduate students and their teaching and learning will also be substantial. The Stanford Center for Teaching and Learning (CTL) supports the university's core educational mission. We help faculty