822 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "St" "University of St" positions at Northeastern University
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driving success **Regrettably, the university is unable to work sponsor for this role, now or in the future. Minimum Qualification Education Bachelor’s or master’s degree in computer science, Information
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looking for part-time faculty to teach courses across the program with special emphasis on applied artificial intelligence, machine learning, natural language processing, computer vision, and experiential
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obtained through a Bachelor's degree in Computer Science, Information Technology, or related field; technical certifications in relevant areas (e.g., cloud platforms, MLOps, data engineering) preferred and a
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of the nematode C. elegans. Our lab integrates genetics, live imaging, quantitative analysis, and computational approaches to uncover the molecular mechanisms regulating aging and longevity. Key Responsibilities
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development from the analytical and methodological perspective of an engineer. Students build advanced design and engineering skills, enhance their knowledge in cloud computing, and develop machine learning
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-scale research infrastructure being built by USC Information Sciences Institute and Northeastern University Khoury College of Computer Sciences. This research infrastructure will offer access
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models (LLMs), including prompt engineering, context management, and implementation strategies for enterprise applications. Cloud Computing: Experience deploying and scaling AI systems in cloud
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, computational models, and non-invasive brain imaging, conducted on campus at NUBIC, a state-of-the-art imaging center with a research dedicated Siemens MAGNETOM Prisma 3T MRI scanner https://web.northeastern.edu
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About the Opportunity The Lecturer will teach introductory courses in architectural drawing, sketching, studio design, computer modeling, architectural history, technology, or project case studies
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complex business needs into scalable AI solutions. Experience in the consulting industry is preferred. 2. Education & Experience Ph.D. (strongly preferred) or Master’s degree in Computer