170 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" positions at Baylor College of Medicine
Sort by
Refine Your Search
-
and fellows, medical students and practicing Neurologists; support research in Neurological disorders; offer the highest quality, and state-of-the-art facilities and equipment. We invite you to learn
-
and computer analysis work spaces. Maintains patient records and results documentation. Utilizes computer appropriately for entry of patient inquiry, specimen inquiry, test results, and quality control
-
anesthesia machines, and digital radiography in proper working order. Minimum Qualifications Associate's degree in a related field. Two years of related experience may substitute for degree requirement
-
candidate will have operational experience with addressing human health and performance challenges in limited resources environments such as space, military or extreme environments such as expeditionary treks
-
Savings Programs (8% contribution to 401(a)), and more. To learn more about our benefits, please visit bcm.edu/careers/benefits New graduates are strongly encouraged to apply! Job Duties Administers all
-
Programs (8% contribution to 401(a)), and more To learn more about our benefits, please visit bcm.edu/careers/benefits New graduates are strongly encouraged to apply! Job Duties Administers all forms
-
Qualifications High school diploma or GED. Six months of relevant experience. Preferred Qualifications Knowledge of HIPAA. Computer literacy. Work Authorization Requirement: This position is not eligible for visa
-
for an unrestricted medical license in the State of Texas. The Department promotes innovative educational initiatives, including the integration of artificial intelligence technologies into the learning environment
-
Programs office. The Specialist will receive training and coaching from experienced senior team members and gradually learn to work independently and become a full Associate. Work is limited in scope
-
; multi-level regression, semi-parametric models, latent variable modeling, and machine learning methods. Ability to use different software to address the increasing complexity of health-related data