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. Preferred: proficient with Microsoft office suite, Adobe Creative Cloud applications, and AEM authoring. Willing to train the right candidates. Additional Information: Physical Demands Summary: The job
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. The PhD candidates will focus on developing methods that utilize remote sensing and AI supporting precision forestry. Remotely sensed data, such as images, lidar, and photogrammetric point clouds acquired
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editing skills -Working knowledge of Adobe Pro -Working knowledge of Canva -Working knowledge of ADOBE Creative Cloud Products such as Photoshop, InDesign, and Illustrator -Working knowledge of WordPress
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wide range of libraries/frameworks and cloud infrastructure tools. Familiarity with Machine Learning, Neural Network and AI driven image analysis methods Experience with data management for large data
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University of California, Los Angeles | Los Angeles, California | United States | about 18 hours ago
Central · Demonstrated experience with cloud technologies and utilizing APIs · Demonstrated proficiency with Oracle / MS SQL database, UNIX Scripting, Crystal Reports, IIS, Python
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Video editing software Web 2.0 tools Cloud-based tools AI tools (e.g., Claude, Copilot, Gemini, ChatGPT) Knowledge, Skills & Abilities Knowledge of current trends, methodologies, best practices, learning
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email activities and external facing communications. Specifically responsible for deploying all emails from Marketing Cloud; developing Marketing Cloud journeys; programming external facing components
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years of relevant experience preferred. Experience with Adobe Creative Cloud products and advanced videography and photography experience in a higher education space or related field. Demonstrated
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of experience creating AWS Glue ETL/ELT jobs Work experience with AWS Cloud services like Glue, S3, Redshift, Athena, Lambda, Step Functions, AppFlow, Cloud Formation and Code Pipeline Three or more
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. Evaluates and selects appropriate foundational models (OpenSource vs. Proprietary) and hosting strategies (Azure AI Foundry, AWS Bedrock, local GPU/TPU), directly influencing the University's cloud spend and