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and in other collaborating labs at Stanford to tackle emerging clinical questions in oncology, utilizing various AI methods, predictive modeling approaches, and large language models. Specific areas
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methods. Ability to recognize and recommend needed changes in user and/or operations procedures. Knowledge of software engineering principles. Strong knowledge of at least one programming language (Ideally
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other recognized metrics used to monitor and report organizational performance. Collect and analyze metric data. Collect, manage and clean datasets using an extraction and reporting programming language
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fluent in English and Spanish. Knowledge of both languages should include fluency in both spoken and written language, and familiarity with common medical terminology. Bachelor’s degree (or on path
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scripting language like Shell, Javascript, PL/SQL. Perform dataflow, system and data analysis and develop meaningful and useful presentation of data in BI applications. Plan and implement standards, define
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inpatient, outpatient and clinic settings. Basic knowledge of R, SQL, and/or python language. Ability to work with and analyze structured and unstructured data. Intellectual curiosity and algorithmic thinking
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common statistical programs requiring the application of job control language in generating and organizing data. SS Adapt new, nonstandard methods outlined by supervisor in designing and evaluating phases
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principal investigator or supervisor; use common statistical programs requiring the application of job control language in generating and organizing data. • Adapt new, nonstandard methods outlined by
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requested by principal investigator or supervisor; use common statistical programs requiring the application of job control language in generating and organizing data. § Adapt new, nonstandard methods
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HAI Postdoctoral Fellowship with Professor Chris Potts, Department of Linguistics Foundation Models (FMs) are enabling researchers to build AI systems at higher levels of abstraction and with lower