443 data-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions at Baylor College of Medicine
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on Gastroenterology research, presenting data to PI weekly. It is the responsibility of this candidate to support the PI for various studies, existing and initiating new, to continue to support the College's Research
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. The Research Program Management Associate provides strategic leadership, operational oversight, and statewide coordination for the Emergency Medical Services for Children (EMSC) Program. This role directs data
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to investigate neurodevelopmental disorders. The candidate will recruit subjects to existing and newly created research protocols. Additionally, the candidate will gather pertinent clinical information from
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program designed to provide meaningful exposure to pediatric healthcare administration. This role offers hands-on learning opportunities focused on administrative operations, data analysis, and process
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internship designed to provide meaningful exposure to pediatric hematology/oncology and healthcare administration. This role offers hands-on experience in data analysis, writing, process improvement, and
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Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary A Bioinformatics Analyst I position is available in the laboratory of Dr. Hari Yalamanchili at the Data Science Hub within the Jan and Dan Duncan
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that advance departmental and strategic goals. This paid summer internship offers hands-on professional experience in healthcare administration, including exposure to regulatory affairs, data analysis and
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cognitive neuroscience across the Departments of Neurosurgery, Psychiatry, Neurology, and Neuroscience at BCM as well as the Department of Electrical and Computer Engineering and Neuroengineering Initiative
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students and provide feedback on their aptitude. Job Duties Perform survival surgery on live mice, acquire and analyze EEG data, assist with mouse colony management and home-cage monitoring With training and
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. The role requires developing and applying custom code for data processing, statistical analysis, and modeling of large-scale neural datasets. This work aims to uncover fundamental principles governing