676 structural-engineering-"https:" "https:" "https:" positions at Stanford University
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with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University’s Administrative Guide, http
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to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu . Hybrid: The expected pay range for this position is $197,011 to $251,736 per annum
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SCHOOL/UNIT DESCRIPTION: The Industrial Contracts Office (ICO) is a unit within the Office of Technology Licensing , Stanford's technology transfer office. OTL evaluates, markets and licenses
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The School of Engineering Stanford Engineering has been at the forefront of innovation for nearly a century, creating pivotal technologies that have transformed the worlds of information technology
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policies found in the University's Administrative Guide, http://adminguide.stanford.edu and the appropriate collective bargaining agreement at https://cardinalatwork.stanford.edu/working-stanford/policies
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nonprofits to use machine learning and data science to modernize the public sector. We are an interdisciplinary team of data scientists, social scientists, engineers, and lawyers who are passionate about
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for comparable jobs. The pay range for this position working in the California Bay area is $225,048.00 to $265,631.00 annually. DESIRED QUALIFICATIONS: Master's degree in Science, Engineering, Accounting, Finance
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University School of Medicine’s Faculty Search and Applicant Tracking (FSAT) website at the following link: http://Facultypositions.stanford.edu/cw/en-us/job/494809 Interested candidates should submit a CV, a
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limited to the personnel policies and other policies found in the University’s Administrative Guide, http://adminguide.stanford.edu . Hybrid: The expected pay range for this position is $197,011 to $251,736
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in our department. For more information on our department, please see our website: https://med.stanford.edu/anesthesia.html Duties include: Collect, manage and clean datasets. Employ new and existing