667 parallel-computing-numerical-methods-"Simons-Foundation" positions at Stanford University
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work in partnership with Stanford GSB departments and program owners. The Event Planner schedules, plans, and executes programs and events, such as academic courses, seminars, conferences, major events
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to travel regularly to partner sites in the Bay Area KNOWLEDGE, SKILLS, AND ABILITIES: General understanding of scientific theory and methods. General computer skills and ability to quickly learn and master
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outcomes. · Apply the theories and methods of a life science discipline to interpret and perform analyses of experiment results; offer suggestions regarding modifications to procedures and protocols in
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requiring the application of job control language in generating and organizing data. ● Adapt new, nonstandard methods outlined by supervisor in designing and evaluating phases of research
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The LOCKSS Program is seeking a full-time Data Analyst. The Libraries values are rooted in a commitment of mutual respect, the idea that every member of the staff has something to contribute, and
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team. This role will develop the computational and visualization tool to segment, annotate, and classify subcellular features from cryogenic volume electron microscopic image data. The ideal candidate
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Stanford Libraries is seeking a full-time Preservation Analyst to join the LOCKSS Program. The Libraries values are rooted in a commitment of mutual respect, the idea that every member of
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vibrant. EH&S is seeking an Assistant Director of Emergency Management (ADEM) to support Stanford University's enterprise-level emergency management program, reporting to the Director of Emergency
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multidisciplinary team studying the genomics of neurodegenerative diseases, with a special focus on Alzheimer’s Disease (AD). Current research focuses on using novel methods to detect genetic associations with
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seeking a creative, highly motivated, Research and Development Scientist and Engineer 1 with an interest in developing platforms that integrate and deploy multimodal machine learning methods in clinical