89 structures-"https:" "https:" "https:" "https:" positions at Northeastern University in United States
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collaborate with academic and industry partners of EAI. Minimum Qualifications: An MS in computer science with a heavy focus on machine learning and LLM-RAG construction and development by the appointment start
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technologies if needed); and structuring marketing and communications work to best achieve institutional priorities and enrollment goals. The Associate Director is responsible for all e-mail, web-based, and
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documents. Global Labeling Gain in-depth knowledge of labeling regulations regarding Company Core Data Sheet (CCDS), US Package Insert (USPI), Summary of Product Characteristics (SmPC), and Structured Product
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and data product capabilities using Snowflake Cortex, Snowpark, vectorized storage, and machine-learning features. The developer will work across legacy data structures (Banner, Workday, Salesforce
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interested in the physical processes involved in the translation of genetic information. We develop novel theoretical approaches to characterize the structure and function of the genome using the tools
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(DfMA) and industrialized/offsite construction; robotics and human–robot collaboration for fabrication and assembly; AI, data, and digital twins for the built environment; circular, low‑carbon, and
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and optimize Workday foundational data structures (supervisory orgs, job catalog, positions, cost centers, academic/administrative hierarchies). Conduct regular data audits, resolve inconsistencies, and
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orientation and accountability to performance measures. An appreciation for lifelong learning and the value of skills gained through a structured education as well as through hands-on work experience
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related hardware and software, enterprise SaaS, research related equipment and consumables, professional services, marketing and advertising, staffing and placement services, design and construction
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(DfMA) and industrialized/offsite construction; robotics and human–robot collaboration for fabrication and assembly; AI, data, and digital twins for the built environment; circular, low‑carbon, and