18 assistant-professor-computer-science-data "https:" "https:" positions at Stanford University in United States
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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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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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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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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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Institute (SCI) at the Stanford University School of Medicine seeks applicants to join our Early Drug Development (EDD) Program as an Assistant Professor or Associate Professor or Professor in the University
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department website at: https://med.stanford.edu/neurology.html The expected base pay range for this position is: Clinical Assistant Professor: $245,000 - 263,000 Clinical Associate Professor: $284,000
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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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Requirements: Bachelor's degree in a relevant quantitative field (E.g., economics, finance, business, data science, statistics, or a related field). General understanding of theories and methods typically gained
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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