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Field
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Qualifications Maintain working knowledge of various Adobe Creative Cloud programs (Photoshop, Lightroom, InDesign, Illustrator, Premiere, Acrobat, etc.), HTML, and other marketing-related software. Possess
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field Proficiency in SQL and working knowledge of scripting languages such as Python Familiarity with ETL concepts Knowledge of cloud platforms such as Azure/Fabric, AWS, and/or GCP Strong attention
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the appropriate union. To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html Department
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
with AI and Machine Learning Frameworks, including Generative AI - Exposure to Azure ecosystems (e.g., Microsoft Fabric, Azure MI, Databricks) and collaboration with data/ML and cloud teams
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in a team environment Preferred Qualifications Experience or familiarity with some of the following tools is strongly encouraged: Adobe Creative Cloud or similar creative software 3D modeling and
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Location Lexington, KY Grade Level 14 Salary Range $93,527-156,062/year Type of Position Staff Position Time Status Full-Time Required Education BA Click here for more information about equivalencies: https
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or NoSQL) Exposure to AWS services (EC2, S3, or similar cloud platforms) Candidates should include URLs and/or web portfolio and GitHub, along with a cover letter and resume. This is a grant-funded position
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Technology Infrastructure and Support, you will drive the infrastructure roadmap, cloud architecture, operational reliability, and Tier 2 service model. This is a hands-on technical management role with formal
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Biomedical Data Science Postdoc Appointment Term: 2 years (can be exended) Appointment Start Date: December 1, 2025 (Flexible) Group or Departmental Website: http://med.stanford.edu/summerhanlab.html (link is
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health record (EHR) integration Community partnership–driven research Responsibilities: Conduct statistical and computational analyses using R, Python, SAS, and/or SQL Support cloud-based analytics in