214 algorithm-development-"Multiple"-"Prof"-"Prof" positions at The University of Alabama in United States
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
management skills with a proven ability to manage multiple priorities and deadlines. Experience in research administration, program management, or partnership development. Preferred Qualifications: Experience
-
). Skills and Knowledge: Ability to manage multiple projects independently. Strong analytical skills, including market research and business model development. Excellent interpersonal, verbal, and written
-
of varying degrees of technical ability and understanding. Effective time management skills and ability to work on multiple projects simultaneously. Preferred Qualifications: Experience developing with
-
Pay Grade/Pay Range: Development Associate Director: Minimum: $74,200 - Midpoint: $100,200 (Salaried E12) Development Director: Minimum: $83,500 - Midpoint: $112,700 (Salaried E13) Department
-
of Artificial Intelligence, Machine Learning, and quantum computing with a focus on drug discovery and development. Appointments to the faculty of The University of Alabama are based on the personnel requirements
-
Department/Organization 219101 - University Libraries Rank Assistant Professor Position Summary THE UNIVERSITY OF ALABAMA LIBRARIES Web Development Librarian The University of Alabama Libraries
-
Schedule: Flexible, Monday - Friday, up to 20 hours per week Note to Applicants: Please send a resume and a paragraph of interest to sjturner1@ua.edu Job Summary: The Student Assistant Web Developer performs
-
Pay Grade/Pay Range: Development Associate Director: Minimum: $74,200 - Midpoint: $100,200 (Salaried E12) Development Director: Minimum: $83,500 - Midpoint: $112,700 (Salaried E13) Department
-
: Experience working with children, infants to five years of age in group setting. Child Development, Child Life, and Education majors. Understanding of Child Development birth to five years of age. Ability
-
, and data science, with a particular focus on neuroscience applications. Designs AI techniques and algorithms for multimodal data fusion (e.g., MRI, EEG, cognitive and behavioral data, blood biomarkers