327 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at Stanford University
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service" commitment. Strong inventory management systems experience. Strong computer skills with applications like Microsoft Excel. Strong written and verbal communication in English. EDUCATION & EXPERIENCE
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anatomy, and using molecular cloning to genetically engineer plant species. We value enthusiasm, dedication to the craft of science, care and attention to detail, and a generous and friendly attitude. Prior
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Materials Science & Engineering – GLAM’s research portfolio is large, complex, and highly-heterogeneous, producing and reproducing strong relationships with many Stanford departments and administrative units
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interest in translational science. The postdoctoral fellow will work closely with Dr. Vivek Charu and Dr. Brooke Howitt. Required Qualifications: PhD in Biostatistics, Bioinformatics, Computational Biology
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, to ensure program and facility compliance with the USDA Animal Welfare Act and National Institutes of Health Guide for the Care and Use of Laboratory Animals. Provide ongoing training, education, and
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on “bench to bedside” technology. The primary work will include supporting pilot studies of Pediatric Gastroenterology faculty (from study start up to closure), as well as federally funded and industry
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. Strong interpersonal and telephone communication skills. Demonstrated computer proficiency. Data entry experience. Must be able to understand and apply policies, procedures and protocols of the university
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research. The ideal fellow will be interested in developing and applying novel computational algorithms to novel datasets generated in the setting of non-neoplastic and neoplastic disease. Key
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and transplantation and to translate this knowledge into improved treatments. Required Qualifications: Individuals with a recent MD or PhD degree with skills in computational biology, bioinformatics
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(Administrative Associate 3) to provide administrative or operational support with limited supervision to 4-6 faculty and their program managers. Faculty will have varying levels of support needs ranging from