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/Energy Engineering Hands-on experience with Amazon Web Services (AWS), including deploying and managing cloud-based applications. Familiarity with integrating front-end web interfaces with backend systems
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' experience supporting and optimising complex application ecosystems across on-premises, cloud, and SaaS environments. You will have a bachelor's degree in computer science or related discipline (NZQA Level 7
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, and 2D/3D detection along with point cloud processing Required Technical Expertise: ○ Deep Learning Frameworks: PyTorch, TensorFlow ○ Computer Vision Libraries: OpenCV, scikit-image
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science support to researchers and management of compute environments / HPC. • Create and manage workflows using on-prem resources and cloud computing. • Identify and develop new project opportunities
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developing ETL processes in a cloud or distributed computing environment. 1 year of experience serving as an honest broker or handling deidentified/limited datasets in compliance with HIPAA and IRB protocols
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projects and estates operations. You will champion the use of our Common Data Environment (Autodesk Construction Cloud or similar) and drive data quality, model compliance, and integration with operational
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-DSI DHC Micro-credentialing program. · Demonstrated information technology experience in applications, infrastructure, and development preferred to manage and support cloud and web hosting platforms
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experience with high-performance computing or cloud platforms (e.g., AWS, Azure, Google Cloud). 1 year of experience contributing to peer-reviewed research publications or grant applications involving data
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to digital and print designs using Adobe Creative Cloud programs, clearly communicating the purpose of the marketing piece for appropriate audiences. Follows the project management process steps to accomplish
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design and full familiarity with on-premises open-source cloud solutions like OpenStack. What will you be doing? You will provision of specialist solutions within hybrid cloud computing including both