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synergistic with Data Engineering, including—but not limited to—industrial data infrastructure and pipelines, distributed and cloud computing, cyber-physical systems, real-time, multi-modal and streaming data
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Management platforms (InTune, JAMF), Secure Printing, and Interface Engines. Working knowledge of cloud architecture and services (e.g., Azure, AWS), including strategy, hosting, virtualization, and
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the evaluation, procurement, and implementation of research computing hardware, software, cloud resources, and vendor services in alignment with institutional policies. • Direct the delivery of advanced technical
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massive images, videos, 3D point clouds, and other data; design and build deep learning models, conduct model training, evaluation, and iterative optimization; perform model lightweight design for specific
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, Systems Engineering, Enterprise Architecture, or a closely related field. Minimum 3 years of professional experience in enterprise information systems, infrastructure, cloud environments, systems
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to determine the timing, nature and complexity of the billings and enter into to the Financials in the Cloud (FITC) Grants system for Accounts Receivable (AR) and Invoicing. Provide backup for drawdowns from
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knowledge of multimedia applications used to create interactive instructional materials, simulations, and learning objects such as Adobe Creative Cloud (Illustrator, Photoshop, Premiere Pro, Audition, After
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. Works on or manages projects of where time frame may not be clear and where end results may be uncertain. What you bring: PhD in Computational Biology (or statistics with biological applications) Cloud
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, tiff, pdf) Automating and improving the management of our repositories (move data to GitHub or other cloud-based repository) Streamline deployment of software into test and production environments
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, you will maintain and develop a research-oriented lab environment, manage cloud environments, administer the systems to maintain these environments, and embed with researchers to ensure their needs