195 engineering-computation-"https:" "https:" "https:" "https:" "https:" uni jobs at Northeastern University in United States
Sort by
Refine Your Search
-
on workplace health and safety. Key Responsibilities: Serve as the program lead for the university’s Laboratory Ventilation Management Program (LVMP), including program management, testing, training
-
, etc. Further, the Applications Developer will need to operate well in programming teams and to collaborate in a multi-disciplinary environment. MINIMUM QUALIFICATIONS BA/BS degree in Computer
-
- IT Audit leads the IT audit program which has been established to evaluate the system and process controls to ensure the confidentiality, integrity, and availability of the university’s information
-
infrastructure being built by USC Information Sciences Institute and Northeastern University Khoury College of Computer Sciences. This research infrastructure will offer access to an unprecedented variety
-
communication and change management efforts associated with executed projects, in addition to managing a supplier performance program within assigned, centrally managed spend categories. You will be part of
-
systems, offering concentrations in machine learning, robotics, computer vision, energy systems, and process engineering. This innovative program combines technical rigor with applied learning opportunities
-
environment and can balance autonomy with teamwork. Core Qualifications: PhD in computer science, electrical engineering, biomedical engineering, or a closely related field. Strong citation record in embedded
-
and Technology Studies, and Media Studies. We seek an assistant professor to be appointed in Communication Studies or Journalism in CAMD, and jointly appointed at the Policy School within the College
-
About the Opportunity JOB SUMMARY Lead business process optimization initiatives across our Finance organization, with a focus on leveraging SaaS technologies and emerging technology such as Agentic
-
language processing, computer vision. AI model governance, explainability, and regulatory compliance. Data and AI ethics, privacy, and security Cloud AI platforms, AI ops, MLOps, and data engineering pipelines. AI