1,034 learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Duke University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Profile Show More Options Loading... Clear Create Alert Apply now » Learning Technology Engineer Work Arrangement: Hybrid (On-Site and Remote mix) Requisition Number: 274544 Regular or Temporary
-
Learning Technology Engineer - PT Work Arrangement: Hybrid (On-Site and Remote mix) Requisition Number: 274544 Regular or Temporary: Temporary Location: Durham, NC, US, 27710 Personnel Area
-
. Be You. The Heaton Laboratory ( https://heaton.labs.duke.edu/ ), a member of the Duke Center for Virology ( https://sites.duke.edu/dukevirology/ ), is seeking a highly motivated Bioinformatician
-
Sanford School's Master of National Security Policy (MNSP), a hybrid mid-career degree program, are particularly encouraged to apply. More information on the MNSP can be found at https
-
, submit the following required items online at: https://academicjobsonline.org/ajo/jobs/32219 • Cover letter • Curriculum Vitae • Research statement • Teaching statement • Transcript or diploma
-
, organization, and function; models of perception, cognition, learning, and behavior; and statistical and machine-learning approaches for understanding neural data and brain function. We are particularly
-
to the diagnosis, treatment, and/or fundamental understanding of human disease. Particular research areas of interest include the development and application of machine learning and artificial
-
Carolina Board of Athletic Trainer Examiners by start date · Current CPR/AED/First Aid Certifications · Strong interpersonal and organizational skills, with a commitment to learning and professional
-
Position Description An Associate in Research position is available in the Interpretable Machine Learning Lab ( https://users.cs.duke.edu/~cynthia/home.html ) for a scientific developer to work in
-
with conducting research at the intersection of reinforcement learning and statistics. The primary responsibility of the candidate will be to advance statistical methodology useful for the design and