653 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" positions at Stanford University
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telephone or in-person interviews to gather data, as needed. Administer standard study questionnaires and tests, score test measurements and questionnaires, and code data for computer entry. Perform
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, residents, postdocs, and fellows. We aim to recruit, support, retain, and promote diversity in our department. For more information on our department, please see our website: https://med.stanford.edu
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, please see our website: https://med.stanford.edu/anesthesia.html Duties include: Oversee subject recruitment and study enrollment goals. Determine effective strategies for promoting/recruiting research
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, research new regulations, and recommend and implement approved changes. May manage compliance program for area of responsibility, and create complex compliance reports. Develop reports and presentations
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change the world. For more information about the department visit: http://pathology.stanford.edu About the Lab: The LSRP will work in the lab of Dr. Ansuman Satpathy, MD, PhD (Department of Pathology and
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throughput single cell phenotyping and high-volume genome and transcriptome sequencing, but also in developing appropriate analysis of these results through existing and novel computational pipelines
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Program Coordinator to support visiting scholars, postdoctoral fellows, and guests from around the world. In this highly collaborative position, you’ll help organize academic seminars and events, coordinate
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. Mastro's and related program webpages, including posting publications and event announcements in coordination with Stanford communications offices. This is a one year fixed-term position. The position will
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in-person interviews to gather data, as needed. Administer standard study questionnaires and tests, score test measurements and questionnaires, and code data for computer entry. Perform quantitative
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datasets for model training in computers. Independently conduct experiments; maintain detailed records of experiments and outcomes; run training and inference of AI models for cancer diagnosis, prognosis and