290 computer-engineer "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Stanford University
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The Division of Computational Medicine in the Stanford Department of Medicine is advancing the future of health through data science, biomedical informatics, and interdisciplinary research. Our faculty
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academic excellence across the broadest array of disciplines including business, education, engineering, humanities and sciences, law, medicine, and sustainability. It also is an engine of innovation
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of powerful computing tools, and innovation in quantitative and qualitative research methods are opening a new frontier for social scientists to explore bold, inventive research questions. In this era
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of powerful computing tools, and innovation in quantitative and qualitative research methods are opening a new frontier for social scientists to explore bold, inventive research questions. In this era
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Note - This position has been deemed critical by the School of Engineering Dean's Office and is exempt from the hiring freeze.. Visa sponsorship is not available for this position. All candidates must be
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. KNOWLEDGE, SKILLS, AND ABILITIES: General understanding of scientific theory and methods, typically gained through completion of an undergraduate degree in a related field. General computer skills and ability
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, perform desk-based computer tasks, use a telephone and write by hand, lift, carry, push, and pull objects that weigh up to 40 pounds. Rarely kneel, crawl, climb ladders, grasp forcefully, sort and file
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Appointment Term: 1-2 years depending on performance and availability of funding Appointment Start Date: Summer/ as soon as possible Group or Departmental Website: https://sparklab.stanford.edu/ (link is
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records of experiments and outcomes. General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications. Ability to work under deadlines with general
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and five years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics, or engineering. KNOWLEDGE