11 assistant-professor-computer-science-data "https:" "https:" "https:" "https:" positions at Stanford University
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faculty compensation program or pay from participation in departmental incentive compensation programs. For more information about compensation and our wide-range of benefits , including housing assistance
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Hospital Epidemiology to join the division as Assistant or Associate Professor in the University Medical Line. Applicants must have an MD or equivalent medical degree, current eligibility/certification with
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recruiting a Clinician Educator as a Clinical Assistant Professor, Clinical Associate Professor, or Clinical Professor. The major criterion for appointment as Clinician Educators is excellence in the overall
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. The Research Coordinator will work under the general supervision of Assistant Professor Meg Cychosz and serve as the public face of the laboratory, coordinating recruitment and data collection at partner
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faculty compensation program or pay from participation in departmental incentive compensation programs. For more information about compensation and our wide-range of benefits , including housing assistance
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Assistant, Associate, or Full Professor, University Medical Line, Psychiatry and Behavioral Sciences
-rank Search Assistant, Associate, or full Professor University Medical Line or Clinician Educator Line The Department of Psychiatry and Behavioral Sciences at Stanford University School of Medicine is
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at lori4@stanford.edu. The expected base pay range for a basic science position is: Assistant Professor: $192,000 – $210,000 Associate Professor: $226,000 - $250,000 Professor: $276,000 - $306,000
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affairs, and applying this expertise to policy-relevant solutions. POSITION SUMMARY :Empty heading Professor Oriana Mastro is seeking a full-time research assistant with first-rate analytical capabilities
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applying this expertise to policy-relevant solutions. POSITION SUMMARY : Professor Oriana Mastro is seeking a full-time research assistant with first-rate analytical capabilities and outstanding academic
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relevant quantitative field (E.g., economics, finance, business, data science, statistics, or a related field). General understanding of theories and methods typically gained through completion