317 coding-"https:"-"FEMTO-ST"-"Prof"-"AMOLF" "https:" "https:" "https:" "https:" "https:" positions at Stanford University
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package. The Cardinal at Work website ( https://cardinalatwork.stanford.edu/benefits-rewards ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees
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applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu
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fine; please include all full-time programs) showing outstanding academic credentials Project/code samples or Github There will be two rounds of application review. The deadline for the first round is
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apply and join our innovative team! Please see the following publication for an example of our prior work with the ex vivo heart simulator: https://www.sciencedirect.com/science/article/pii
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exposed to working in the cloud environment and learning machine learning techniques. The role requires working independently with minimal supervision, as well as communicating results in code, orally, and
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scientists from diverse disciplines and life experiences to creatively address critical questions for today’s world. Learn more at https://biology.stanford.edu/ POSTION SUMMARY: The Yan Lab at Stanford Biology
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for whom we passionately care. For more information about the department visit http://pathology.stanford.edu/ About the Position An LSRP position is available in the combined Lab of Dr. Brooke Howitt, Dr
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market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits
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. Data collection often requires having a study team member available at any moment to collect data based on a participant’s schedule. Data analysis also requires detailed coding by multiple coders
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neurostimulators. Our team has deconstructed brain activity to discover the neural code responsible for the abnormality of walking in Parkinson’s disease and can predict debilitating freezing events that can cause