212 machine-learning-"https:"-"https:"-"https:"-"https:"-"Earlham-Institute" positions at Villanova University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
tracking system Monitor all tutor sessions taking place in the center Enforce study hall rules and follow proper protocol to report incidents Communicate regularly with the Academic Support for Athletics
-
facilitate volunteer, service learning, and community engagement programs. The project manager will support the staff of the Center for the Common Good in the organization of VHub, creating Villanova specific
-
higher education environment preferred Proficiency in all standard computer applications, with a general comfortability with all Microsoft Office products (Word, Excel, PowerPoint, Outlook). General
-
Proficiency with personal computer applications (word processing, spreadsheets, database, on-line work order systems). Other Professional work environment with significant night and weekend hours. Strong
-
using real-time monitoring systems. Develop AI and machine learning models to integrate real-time monitoring data Collaborate with colleagues in computer science and computer engineering to integrate
-
computer applications, particularly Microsoft Word and Excel, is required. Familiarity with Airtable is a plus. This individual must follow high standards of discretion and confidentiality. A deep commitment
-
Computer Engineering Contact Name: Helen Cook Contact Phone/Extension: 610-519-4970 Position Summary Information Job Description Summary: research on electrical and computer engineering topics; Assist with
-
student worker does not need to possess all skillsets to complete work but must be willing to learn and try new things. The student worker must be able to exercise discretion when handling graduate course
-
Scholarly Engagement, the Managing Librarian for Liaison Services contributes to the development and delivery of strategic, high-quality programs and services at Falvey Library to advance teaching, learning
-
sampling of the parameter space of eclipsing binary observables, most notably photometric data from NASA’s Kepler and TESS missions. In parallel, the applicant will be given an opportunity to teach