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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
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backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
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to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
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video using Adobe Creative Cloud software. Re-edit video content to be used across multiple platforms. Make light, color/contrast adjustments to finished work as needed to maximize publishing quality
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major data science application domains (e.g., healthcare, medical devices, social networks) or societal infrastructures (e.g., transportation, smart grids, smart cities, cloud computing). All candidates
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regarding accessibility, privacy, and ethics standards. Performs other duties as assigned. Minimum Qualifications Bachelor’s degree in computer science, Data Science, Software Engineering, a related field
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eligible and ready to enroll in the UPC doctoral programme. Nice-to-haves: Previous track record of research excellence (publications, awards). Experience with Cloud-native technologies (Docker, Kubernetes
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, cloud-based services, virtual infrastructure, and applications. This position acts as a technical bridge between internal department teams and vendor partners for development, engineering, service
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transcriptomics. Experience with Neuro Degeneration biomarker datasets (PET, MRI, immunoassays, ADNI). Prior experience working in collaborative, fast-paced research environments. Familiarity with cloud computing
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the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description You will join the