Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
intelligence (AI). The successful candidate will join Prof. Francesco Restuccia’s research team (website: https://mentis.info) in Boston, Massachusetts, and work on cutting-edge topics in resilient AI, including
-
of performance to assist with closeout process. Work in collaboration with the Process and Audit Manager on all audits, assessments and desk reviews Distribute metrics reports to NU-RES Finance
-
technical specifications. Knowledge, Skills, and Abilities: Advanced applied statistics skills, such as distributions, statistical testing, regression, etc. Professional experience developing machine learning
-
for software and ML pipeline development. Experience with SQL, NoSQL, and cloud platforms (AWS, Azure, GCP). Familiar with distributed data systems (e.g., Apache Spark) and workflow orchestration tools (e.g
-
, vendor management, student travel and reimbursement oversight, and front desk/shipment coordination to ensure proper three-way matching for orders and distribution of packages. The Purchasing Specialist
-
distribution of finished projects. He/she/they are expected to deliver the highest quality of work and show a great amount of flexibility and ability to multitask, change direction on a whim, and work at a high
-
for large-scale and distributed systems. The role focuses on developing and analyzing algorithms, building reproducible computational studies, and disseminating results in leading venues. The position
-
academic environment and generous benefits, please see http://www.northeastern.edu/hrm/ . Summary of core responsibilities include, but are not limited to: scheduling and attending routine meetings with PIs
-
awareness, hands-on activities. 10% 3 Recruitment & publicity of program services. Distribute and collect METS student applications, share METS informational flyers and program event calendars with current
-
for performance, cost-efficiency, and low-latency inference Develop distributed model training and inference architectures leveraging GPU-based compute resources Implement server-less and containerized solutions