108 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at Emory University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Learning Center . In this role, the Clinical Placement Coordinator will take the lead in building and nurturing partnerships with clinical learning sites, managing student placements, and ensuring compliance
-
experience. Proficiency with various personal computer software applications. NOTE: This role may be granted the opportunity to work from home regularly but must be able to commute to The Carter Center on a
-
the opportunity to teach residents and mentor graduating fellows. Qualifications include: • Graduate of an accredited, four-year medical school. • Graduate of an accredited, post graduate residency program In
-
consultation with the dean. Student and Faculty Success Foster a positive and productive learning environment. Establish a structure of assistant deans and staff to meet the educational needs of the school. Work
-
of the experiential learning initiative, including support for internships and short-term projects and simulations. Supports communication and marketing to increase graduate student awareness and participation in
-
software packages and mobile applications. Willing to participate in on and off-duty educational opportunities to continually enhance applicable skills/knowledge. Some positions in this classification may
-
views, composes, edits and types correspondence, reports and manuscripts under minimal guidance. May take dictation or transcribe from a machine. Maintains various databases and/or spreadsheets. Sets up
-
solicitation campaigns for Emory constituents. As annual giving fundraising strategists, they seek to acquire, reactivate, renew, and upgrade donors at the annual giving ($1-$999) and leadership annual giving
-
research. Education is the impetus that drives successful academic goals, and to this end, we teach and mentor a variety of trainees, including medical students, residents, neonatal fellows, and students in
-
Bayesian modeling (e.g., hierarchical models, CAR/GMRF, state-space models, MCMC). Proficiency in R; experience with NIMBLE, or similar Bayesian frameworks. Demonstrated ability to write and communicate