207 engineering-computation "https:" "https:" "https:" "https:" positions at Northeastern University
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- 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
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) to evaluate novel biomarkers for ADRD. Minimum Qualifications - PhD in computer science, engineering, bioinformatics, biomedical data science, or related field - Familiarity with genomic and bioinformatic
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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
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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
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, Engineering, Finance, Business Administration, Institutional Research, or related field required; Doctorate preferred Minimum 10 years of progressive experience in higher education analytics, enrollment
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systems, offering concentrations in machine learning, robotics, computer vision, energy systems, and process engineering. This innovative program combines technical rigor with applied learning opportunities
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About the Opportunity The Research Assistant (Neuroinformatics) in the Computational Optics and Translational Imaging (COTI) Lab at Northeastern University will support NIH-funded projects focused
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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
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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
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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