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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description La thèse s'inscrit à l'interface des probabilités et de la statistique. Les
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consists of high-performance computing clusters, virtual machines, PetaByte-scale high-performance storage and cloud platforms. We work with BCH scientists to develop solutions in support of cutting-edge
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
(supercomputer/cloud/edge) infrastructures. Developed by the KerData research team in the context of the STEEL project of the national PEPR CLOUD program, E2Clab (https://team.inria.fr/kerdata/e2clab/ ) is a
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Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. About the role... We offer an attractive PhD candidate position in close collaboration with our industrial
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policies Implement metadata tagging and dataset documentation Oversee on premise and cloud data storage/compute chargeback cost allocations Interface with Fred Hutch Scientific Computing and IT Ensure
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industry (e.g., AI integration, cybersecurity trends, and cloud computing). Utilize a variety of teaching methodologies to accommodate diverse learning styles. Hold regular office hours to provide individual
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Scientist to improve the data analysis experience within the MAX IV computing environments. The successful candidate will contribute to developing and supporting the overall software ecosystem for data
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will have a deep understanding of next-generation sequencing (NGS) data analysis, workflow automation, cloud computing, and cloud software engineering best practices. This role will support research and
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promising forward-looking research agenda. Areas of interest include operating systems, distributed systems, embedded systems, mobile computing, and cloud/data center systems. We are also interested in
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of our product development teams building applications within the St. Jude Cloud ecosystem, including the large-scale data sharing application, Genomics Platform (https://platform.stjude.cloud