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PhD graduates who are passionate about leveraging computational methods to transform trauma and acute care surgery. Fellows will work at the intersection of clinical medicine, data engineering, and
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Strong quantitative and analytical skills Experience in either experimental neuroscience (e.g., in vivo neurophysiological recordings, behavioral training) or computational data analysis (e.g., spike
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of a data repository and analyzing data across multiple labs in the MAGIC research network. This position offers an excellent opportunity to further analytical and writing skills and to publish
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selected set of applicants and short-listed applicants may be called for an interview. Required Qualifications: PhD in economics, statistics, sociology or related data science fields Strong data analytic
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, biostatistics, data science, or a related field are encouraged to apply. A candidate who has recently submitted the PhD thesis or is about to submit the thesis is encouraged to apply. A strong computational
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cosmetics in India. The role includes developing and improving analytical protocols, conducting lab and field analyses and training other students and collaborators on analytical approaches. The start date is
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/artificial intelligence; (f) health policy, health economics, and decision science; (g) and implementation science Eligibility The ideal candidate will have an MD/DO, PhD, or ScD. PhDs/ScDs may be in clinical
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: bacteriology, fluorescence microscopy, electron microscopy, antibiotic assays, biochemical purifications, biochemical assays such as binding assays and protein gel electrophoresis, as well as analytical methods
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workflows for data cleaning, linkage, and analysis within Stanford’s secure computing environment. Collaborate with multidisciplinary teams of clinicians, economists, and policy researchers. Prepare
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urgent questions of practical relevance and to design studies to test pragmatic solutions, analyze data, and disseminate findings and implications. The program will also provide fellows with training in