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departments. Deep understanding of Cloud ERP solutions, AI-driven automation, and system integrations to optimize enterprise workflows and improve decision-making. Commitment to continuous learning and
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to the geospatial data processing for the automated creation of digital models. Preparation of associated scientific and technical documentation, including articles, reports, and conference papers Where to apply
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implementation of system improvements, in collaboration with internal and external stakeholders. The Person We are looking for someone with experience of working with CRM systems and marketing automation, as
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on automation, data pipelines, integrations, and system monitoring. Creates ad hoc queries for data requests and special projects, focusing primarily on recruitment and admissions, third-week count, and student
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automation and energy management systems. Installation may include but not limited to installation of electrical conduit, low voltage wiring and terminal control panels. Performs point-to-point system
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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 20 days ago
building controls. Preferred Education Skills and Experience: Additional coursework or certification in building automation systems, control theory, or energy management is desirable. Possess a deep
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theorem provers such as Coq or Isabelle/HOL. Proof Automation. We plan to develop formal methods for automatic reasoning that can be materialized into commercial tools. Responsibilities Participate in and
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- California Faculty Association, Tenured/Tenure-Track, Full Time, Faculty - Engineering California State University, Fresno Lyles College of Engineering Department of Mechanical Engineering https
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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 14 days ago
supervisors. Provide technical oversight on all projects involving your shops. Use Building Automation Systems (BAS) to detect and diagnose problems and recommend changes to improve the performance of the BAS
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into the environment. Those methods are however energy, water, and chemical intense. In this project, we aim to investigate and demonstrate an AI-driven automated solution for the potentially more sustainable process of