166 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" positions at Baylor College of Medicine
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organizational skills with the ability to keep accurate records of all work performed. Strong analytical skills. Demonstrated willingness to learn new techniques with instruction. Demonstrated strong work ethic
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given to those with experience in epilepsy surgery or a willingness to learn. We have established a multidisciplinary evaluation and treatment program for children with epilepsy (including ketogenic diet
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Hospital. To promote and ensure the existence of an environment that supports the continued delivery of quality clinical care, training and learning, communication, and patient and family centered care. Job
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pharmacological and non-pharmacological treatments Instruct patients on prescribed therapeutic regimens, home care and health maintenance Ensure timely and accurate documentation in the EPIC electronic medical
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(8% contribution to 401a), and more To learn more about our benefits, please visit bcm.edu/careers/benefits Job Duties Administers all forms of anesthesia including inhaled, intravenous, neuraxial, and
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opportunity to learn new skills and be a part of a growing department. We are looking for someone who is reliable, a quick learner and can work independently. They must be able to handle large volumes
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for research visits. Learns how to double check and resolves research records for fidelity. Minimum Qualifications Must be enrolled in high school or be a high school graduate (or equivalent secondary education
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the molecular bases of lung development in humans. We invite you to learn more about our research. Training will be provided in grant application preparation. At Baylor College of Medicine, postdoctoral
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to the initial award which do not require a new proposal. Examples are a no-cost extension, change in personnel, scope revision, etc. • Engages in continuous learning by attending relevant trainings, workshops
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initiatives. Continuous Learning & Training: • Stays updated with the latest advancements in AI, computer science, and radiation oncology. • Provides training to departmental staff on the use and