325 engineering-computation "https:" "https:" "https:" "https:" "Univ" positions at Stanford University
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. PHYSICAL REQUIREMENTS*: Frequently stand, walk, twist, bend, stoop, squat and use fine light/fine grasping. Occasionally sit, reach above shoulders, perform desk based computer tasks, use a telephone and
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advancing research technologies into clinical applications. Learn more at https://med.stanford.edu/ctru.html . We are seeking two 2-Year Fixed Term Life Science Research Professional 1’s to be the main
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investigator and/or Clinical Research Coordinator 2 and be part of a fast-paced and dynamic team of research coordinators, post-doctoral researchers, computer scientists, and others. This role also has
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to maintain detailed records of experiments and outcomes. · General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications
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the research program to a variety of internal and external audiences. Analyze trends in recruitment and assure there is a limited number of competing trials. Make recommendations for a variety of options within
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attention to detail. Proficiency in using computers, software, and web-based applications in a previous administrative setting. EDUCATION & EXPERIENCE (REQUIRED): Two-year college degree and two years related
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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 paperwork or parts
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computational analyses that interface with ongoing biology efforts in the laboratory. The LSRP1 will be able to directly work with the principal investigator and other members of the lab in a collaborative
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/ improvement of the AV systems throughout. Strong systems engineering and administrative knowledge is a core requirement for this role, as the entire center’s AV topology is networked. A fundamental
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Andreas Tolias’ research team is seeking a talented NHP LSRP1 to join a multi-disciplinary team of scientists and engineers working on large scale technologies for brain activity and connectivity