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the advent of 5G/6G networks, the Internet of Things (IoT), and edge computing. This evolution enables services to be deployed across the edge-network-cloud continuum [1], leveraging heterogeneous
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. Education Master’s degree or equivalent studies in Computer Science or a related engineering field. Experience and skills At least 3 years of experience in platform engineering, cloud-native infrastructure
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, and enforcing structural coherence even from sparse or noisy point clouds. Finally, we will investigate how to embed notions of discrete differential geometry directly into the learning process, so that
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is heavily focused on Windows Server, Active Directory, and Microsoft 365, while also supporting Azure cloud services and hybrid infrastructure environments. The ideal candidate is a hands‑on engineer
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cloud and HPC platforms to provide powerful compute capabilities to our users. In this role, your contribution will help to deliver the Franklin’s mission to drive forward technology development in
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). Develop robust, reproducible and reusable Python code for model training, inference, and large‑scale computational experiments. Run and manage high‑throughput workloads on HPC or cloud infrastructure
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-performance computing using hybrid cloud, artificial intelligence (AI) and quantum computing technologies to empower and accelerate big data research, with more than 60 research projects in progress. The Center
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cloud computing environments Familiarity with genomic databases and resources such as UCSC Genome Browser, gnomAD, and NCBI. Solid foundation in applied biostatistics and statistical interpretation
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; Quantitative Synthetic Biology; Integrated Circuit Material Packaging; Brain-computer Interfaces and Intelligent Systems; Cloud-Edge Collaborative Artificial Intelligence; Embodied Artificial Intelligence Robots
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university with internationally recognized quality standards. Good understanding of networking, storage, cloud computing, virtualization, and application technologies, and their associated security principles