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, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. The successful candidate will become a member of the Interdisciplinary Centre for Security
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of advanced statistical methodologies, and supporting research on high performance and cloud computing. The successful candidate will also be expected to offer 2-3 advanced technical or methodological workshops
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, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. The successful candidate will join the SERVAL research group and contribute to research and
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Homepage https://itcs.ecu.edu/ Advertising Department ITCS DATA SERVICES Division Administration & Finance Classification Title IT Manager III Working Title Director of IT Enterprise Data Services Number
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modernisation, cloud adoption and ongoing evolution of enterprise platforms. The successful candidate will be expected to take a leadership role in these projects and to contribute to the overall provision of IT
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cloud-connected infrastructure environments. This position collaborates closely with engineering, cybersecurity, and cloud teams to ensure scalable, secure, and highly available infrastructure solutions
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, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. Learn more at https://gdc.cancer.gov/ https://gen3.org/ https
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. The postholder will coordinate a major programme of work to transitioning locally stored research data from CRUK Scotland Institute (CRUKSI) into secure, scalable cloud infrastructure, supporting the institutes
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on Linux HPC / SLURM clusters or cloud environments. Ability to conduct independent research, mentor junior lab members, and communicate results clearly in writing and in presentations. Familiarity with
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
an independent research program. * Experience utilizing high-performance computing or cloud-based environments for large-scale biological data analysis. * Demonstrated record of original scholarship, including