Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
. The primary office for this position is located at NU’s ICBM. 1.Minimum Qualifications Education and Experience Required: Undergoing or completed B.S. in Electrical Engineering, Computer Engineering, Computer
-
systems. (30%) Mentor graduate and undergraduate students associated with the Public Computing Lab. (15%) Publish research progress and findings in top-tier academic venues; contribute to grant writing and
-
portfolio within the Center: Intercultural Learning and Curriculum Development: Lead program evaluation, curriculum development, and evidence-based assessment to enhance the Center’s effectiveness
-
are normally obtained through a Bachelor's degree in Linguistics, Computational Linguistics, Computer Science, or related field; with a minimum of 2 years of experience working with large language models and
-
strategic planning meetings and provide expert guidance on both the maritime industry and U.S. Navy to inform organizational direction. Directly engage and consult with the Navy MIB Program on behalf of DIBI
-
affiliated with the KRI, technical, program management, and security staff of the KRI, and KRI external partners, ideate, articulate, and execute the S&T program of the KRI, and transition the products of its
-
improvement of Workday solutions to optimize data integrity, operational efficiency and business outcome delivery. The position requires a strong technical background in Workday applications, project/program
-
position in the Master of Science in Project Management. The position is based at our campus in Boston, MA. The Master of Science in Project Management program is one of the largest Project Management
-
position in the Master of Science in Project Management. The position is based at our campus in Arlington, VA. The Master of Science in Project Management program is one of the largest Project Management
-
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