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, including: Relational databases (e.g., PostgreSQL / SQL) Graph databases (e.g., Neo4j, Memgraph, or equivalent) Familiarity with cloud computing environments (e.g., Azure, AWS, or GovCloud equivalents
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Qualifications Education: Bachelor's degree in Information Systems, Computer Science, Engineering, or a related field required Experience: 4–6+ years of experience building cloud-native data pipelines
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are typically acquired through the completion of a Bachelor's degree in Information Systems, Computer Science, Engineering, or a related field and ten or more years of progressive experience in data architecture
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About the Opportunity JOB SUMMARY The Dong Theoretical and Computational Chemistry Lab at Northeastern University seeks an enthusiastic postdoctoral researcher to start as soon as possible
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Predictive AI and Generative AI use cases. Education & Experience Master’s degree (required) or Ph.D. (optional) in Computer Science, Engineering, Applied Mathematics, Statistics, or a closely related field. 0
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%)- The worker will integrate digital twin technologies and third-party cybersecurity tools to enhance platform realism and threat coverage. The responsibilities include provisioning and managing cloud
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research methods. Practical knowledge of cloud-based platforms, integrations, enterprise applications, and data-driven systems. Experience working with external vendors or third-party service providers
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, Edge and Fog Computing SDN/NFV IoT protocols IoT architectures Digital Twin Network Security Smart Applications Device/Edge and Cloud based Machine Learning Position Type Academic Position Type Academic
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this role. MINIMUM QUALIFICATIONS Education Bachelor’s degree required in Communications, English, Information Science, Business Administration, or a closely related field. Master’s degree preferred
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BGC leadership, the software development team, research coordinators, students, postdocs, and outside collaborators. The ideal candidate will have significant experience with project management