1,972 machine-learning-"https:"-"https:"-"https:"-"CEA-Saclay" positions at Duke University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
coordinate and teach DUHS life support classes to include BLS, ACLS, PALS, and NRP for the Duke Training Center. Also responsible for special projects within the health system. Required to be a certified
-
to learn and use DUHS computer system programs. Knowledge and ability to learn some therapy principles, techniques, methods andmodalities and their proper application. Knowledge and ability to learn some
-
to DUHS Help facilitate research for the Duke Health System by scanning and using protocols given. Demonstrate proficiency in the 100+ MR protocols in the Health System. Teach the correct application
-
coverage efforts across all divisions within the department as necessary. Assess the learning needs and capabilities of patients and caregivers. Initiate patient and family education in a timely manner
-
follow-up Ability to use fine motor skills Ability to record activities, document assessments, plan of care, interventions, evaluation and re-evaluation of patient status Ability to use computer and learn
-
learning from and collaborating with nationally recognized cardiovascular experts. Our structured 3-month onboarding program includes a dedicated preceptor and tailored clinical pathways, designed to prepare
-
of Software, Computer Architecture, Artificial Intelligence / Machine learning (AI/ML), and/or Human-Computer Interaction. The ideal candidate will have commitment, passion, and excellence in teaching
-
computing, machine learning for hardware design, integrated circuit design, or hardware–software co-design. Experience with semiconductor design tools, circuit/system modeling, or large-scale hardware design projects
-
with causal inference methods or machine learning approaches Demonstrated experience in scientific writing and publication Ideal for candidates who: Have recently completed (or are near completion of) a
-
monitoring of patients notifying the anesthesia provider(s) of abnormal changes in vital signs and/or physical appearance of the patient. Clean anesthesia machines, monitors and equipment following procedures