Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, corporate governance, AI, Large Language Models, and ESG reporting. The Mark and Gail Pyke Professor will help increase the visibility and prestige of the D’Amore-McKim School of Business Accounting faculty
-
Executive Development programs for Corporate, Government and Non-Profit organizations. We leverage the strengths of faculty to organize and deliver World-Class programming that expands the mental horizons
-
: 6461686 Subject Matter Course Instructors About the Opportunity NU Global is a leader in innovative educational programs for international students. We offer ESL and content courses to help prepare students
-
undergraduate and graduate programs leading to degrees through the doctorate in nine colleges and schools. Responsibilities: The instructor will teach primarily general or organic chemistry, with possible
-
pipelines that push technological boundaries for our clients. The Engineer will tackle complex challenges at the intersection of Large Language Models, Computer Vision, and Predictive Analytics while ensuring
-
logistics and supply chain,. In addition to teaching, the position may require industry outreach to support experiential components of degree program curriculum within MIE. While not a requirement, the non
-
programs- in a variety of on-campus and online formats-lead to degrees through the doctorate in nine colleges and schools. Among these, we offer more than 195 multi-discipline majors and degrees designed
-
Engineering, as well as Data Engineering. In this role, the Teaching Faculty will report directly to the MGEN Executive Program Director. The selected candidate is expected to teach, advise, as well as identify
-
carbon emissions while improve the human-centric efficacy of building operations. Key Responsibilities Program Research: Identify vocational and technical education programs across U.S. community
-
of interest include machine learning, LLMs and SLMs, natural language processing, computer vision, theory, and transparent and explainable AI models. Human Centered AI: areas of interest include sensing and