421 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Edinburgh Napier University" positions at Baylor College of Medicine
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monitoring of research participants. Ensure accurate data and specimen collection, proper documentation, organization, and participant safety. Transport blood or biological specimens from the operating room
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requirements, facilitates communication between departments and affiliates, and supports the overall efficiency of GME operations. The GME Lead Coordinator leads initiatives related to, data management, and
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others as they emerge. Collects and analyzes data, and prepare slides, figures and manuscripts for publications. Develops new research directions. Trains new lab members, junior lab members, and students
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Duties Plan, direct, and conduct research experiments focused on GI disease prevention in children. Lead studies related to microbiome-neuroimmune signaling. Evaluate and analyze experimental data
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invasive and noninvasive monitors, as indicated. Responds to emergency/code situations in order to provide airway management. Documents anesthetic information and patient condition. May supervise or provide
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. Performs immunoflourescent staining and runs flow cytometry analysis. Analyses flow cytometry data using FlowJo software. Performs T and/or NKT cell culture and measures their antitumor activity. Measures
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studies to enable hypothesis-driven discoveries. It also provides critical bioinformatics and statistical expertise to strengthen data analysis and drives educational programs designed to train the next
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Hospital to provide statistical and bioinformatics support to investigators in clinical and basic research. Job Duties Performs computational analysis and interpretation of data for projects and research
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and licensing. Become familiar with Electronic Medical Record system, enter data into EMR, and develop a level of competency to document all patient encounters. Complete all documentation in a timely
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approaches, or CRISPR screening. Strong data analysis skills and ability to work collaboratively across experimental and computational projects. Experience studying T-cell exhaustion, GVHD/GVL biology, or allo