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, Cloud Service Deployment). Desired: Experience with High-Performance Computing or GPU programming (CUDA). Specialized knowledge of Neural Rendering (NeRF/3DGS) or Satellite Photogrammetry. Demonstrated
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: Mobile App Development Computer Systems Cloud Computing (specifically with knowledge of AWS) Salary is competitive and additional teaching opportunities are available. For more information about the
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robust, scalable software solution that integrate with subsystems such as VMware, Juniper and Fortinet network controllers, and AWS cloud native APIs. Responsibilities include maintaining and extending
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on the design, development, and operation of application interfaces, data flows, and authentication services both on premise and in cloud services. They leverage emerging and established technologies such as
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collaboration skills Desired Qualifications* Experience supervising DevOps teams Experience with Azure Cloud computing Experience with AI integration and security Why Work at Michigan? Benefits at the University
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NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by
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worthiness of autonomous vehicles cyber risk management, advanced threat intelligence secure-by-design for IoT and policy governance of cybersecurity For more details, please view https://www.ntu.edu.sg/cysren
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DevSecOps practices, and lifecycle management across on premises and cloud environments, while providing technical leadership, project leadership, and mentorship within the team. Minimum Education and
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- 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 36.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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inference Develop distributed model training and inference architectures leveraging GPU-based compute resources Implement server-less and containerized solutions using Docker, Kubernetes, and cloud-native