94 machine-learning-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Angelo State University in United States
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
requirements Academic policies, FERPA regulations, and student rights University mission, values, and student support resources Office software, computer systems, and relevant applications Institutional tools
-
environment. Willingness to learn new A/V systems and technologies. Preferred Qualifications Experience with or exposure to the following is preferred but not required: Windows OS Mac OS Microsoft Office Suite
-
processing and spreadsheet applications and software. Skilled in the operation of a personal computer, as appropriate to the assignment; skilled in oral and written communication; skilled in interpersonal
-
Department data systems, including Operations Commander and Banner (must become proficient). Microsoft Office applications, including Word, Excel, and Outlook. Modern office equipment, computer hardware
-
August 2026. Typical Duties/Job Duties The ideal candidate will provide evidence of excellent technical skills to instruct students in the use of Adobe Creative software in advanced upper-level graphic
-
, scholarship, and service to the program, college, and university Typical Duties/Job Duties Teach in the Doctor of Physical Therapy curriculum in assigned areas of expertise, with emphasis on neurological
-
placements, foster strong community relationships, and promote high-quality experiential learning experiences. This position also includes responsibilities in teaching, scholarship, and service to the program
-
friendly to customers. Must be able to perform clerical duties such as filing, organizing and sorting. Must have basic knowledge of computer software such as Word and Excel. Knowledge of scanning documents
-
and practices; knowledge of spelling, grammar and punctuation; knowledge of word processing and spreadsheet applications and software. Skilled in the operation of a personal computer, as appropriate
-
for design consideration. Irradiated mechanical property prediction models and property correlation metamodels will be developed considering traditional and machine learning approaches. Extrapolation will be