327 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "CNRS " positions at Stanford University in United States
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, finance, statistics or engineering. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): · Substantial experience with MS Office and analytical programs. · Excellent writing and analytical skills
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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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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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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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collaboratively. Preference will be given to candidates who are currently completing the last year of their PhD or graduated from their PhD program in the past year. Required Application Materials: One-page
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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
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alongside a team with expertise in flood modeling and collaborators in IIT Bombay. We encourage recent graduates with a PhD or equivalent degree from an epidemiology, biostatistics, data science, computer