30 cloud-"https:"-"https:"-"https:"-"Institut-Curie---Research-Center" positions at University of Michigan
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for Political and Social Research (ICPSR) has an exciting opportunity to employ a Research Cloud Solutions Designer. This position will report to the Research Computing Manager within ARC and will be responsible
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Marketing Cloud, and you will guide cross channel measurement across email, web, and paid media. You will help Student Life units translate goals into clear KPIs, actionable reporting, and ongoing performance
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Engineering, Computer Science, or a related field. Proven experience working with wireless sensors, point cloud data processing, and sensor integration. Strong background in signal processing, computer vision
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, and deployments in compliance with governance and security requirements. This role also supports the School's CRM strategy by designing end-to-end solutions across Salesforce clouds, including Sales
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application administrator to help support Michigan Dining's infrastructure and planning as we use Michigan IT & cloud-based technologies. You will be a member of the TechSolutions Operations & Infrastructure
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skills At least one year of work experience utilizing Photoshop and/or the Adobe Creative Cloud suite of products for design purposes. The successful candidate must be a self-starter with the ability
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to work with stakeholders across a broad spectrum of seniority Flexibility to meet changing priorities to maximize philanthropic revenue. Strong technical skills, including familiarity with cloud-based
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(CMMS). Knowledge of Google Cloud technology products (or equivalent). Excellent organization skills with the ability to effectively prioritize and manage changing demands. Working knowledge of steam
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(CMMS). Knowledge of Google Cloud technology products (or equivalent). Excellent organization skills with the ability to effectively prioritize and manage changing demands. Working knowledge of steam
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and large language models on unstructured EHR text; applying transformer architectures adapted for biomedical applications; and using Python, SQL, PySpark, AWS cloud computing environment, Databricks