224 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Bowling Green State University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
William and Joan Downing Scholarship for Military and Veteran Students The William and Joan Downing Scholarship provides assistance for active duty Military and Veteran students. Eligibility: Must
-
using strategies learned through the SI Leader training workshop. Regularly meet with the SI Supervisor for debrief sessions. Regularly meet with the cooperating Faculty member. Create and use SI session
-
-Development Communication Critical Thinking Essential Functions Support students with courses LMS, distance learning and technology. Provide instructional support. Support assurance of learning and program
-
to create interactive learning experiences. Career Readiness Competencies Take initiative to learn new tools, systems, or procedures on the job. Present ideas or updates in a clear and organized manner. Ask
-
group discussions. Assist faculty during the semester. Assist in assigning work that develops the student's understanding of critical thinking. Assist students in writing and learning the material
-
activities for prospective students and their families. Plan, coordinate and chaperone up to eight learning community trips. Compile, edit and disseminate a weekly email newsletter, The Scroll, which lists
-
manufacturing. Student will explore feature dominance, redundancy, and interaction effects using interpretable machine learning techniques. The study emphasizes how data quality, feature selection, and
-
each week Additional Information To be considered, candidates must apply here: https://forms.office.com/r/0j178VagK4 . For best consideration, please apply by April 1st at 8:00am. Bowling Green State
-
, genetic information, HIV/AIDS status, marital status, military status, national origin, political affiliation, pregnancy, race, religion, sex, sexual orientation, protected veteran status, or any other
-
of age or older), ancestry, color, disability, ethnicity, familial status, gender, gender identity and expression, genetic information, HIV/AIDS status, marital status, military status, national origin