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. This position serves as Enrollment Marketing’s primary administrator and subject matter expert for Salesforce, Salesforce Marketing Cloud, Marketing Cloud Intelligence, and related CRM technologies
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integration of AI-agent workflows into the lesson-delivery environment. • Supports cloud-based development, testing, deployment, and related computing workflows for project software systems
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with support from biostatisticians within the group. The bioinformatic work will be performed using high performance cloud computing solutions. This project offers the opportunity to utilise emerging
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Science Foundation's Programmable Cloud Laboratories (PCL) Test Bed program to establish ELECTRA, a remotely accessible, AI-enabled automated laboratory for electron diffraction (MicroED) and structural
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. The Software Development Engineer I/II designs, develops, tests, deploys, and maintains software applications, platforms, and services that support advanced research, artificial intelligence, cloud computing
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, visualization, and AI infrastructure, along with scientific consulting, user support, education, and training. RCC also helps researchers leverage local, national, and cloud-based computational resources
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development, cloud infrastructure, artificial intelligence, advanced computing, privacy-enhancing technologies, and research data platforms. Key programs include the NSF-funded SAFE-AI (Sandbox for Accelerated
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into insight). To tackle this, the research blends ideas from knowledge graphs, stream processing, database theory, logic, edge and cloud computing, and Artificial Intelligence into a single coherent framework
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expressions for latency and offloading probabilities across edge-only, cloud-only, and edge-cloud computation offloading algorithms. Design and develop robust Python APIs for edge-only, cloud-only, and edge
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); experience with cloud computing platforms (e.g., AWS, GCP, Terra) is a plus · Experience developing and training deep learning models, ideally with fluency in PyTorch or an equivalent framework, is a