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Field
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support research faculty, post-docs, and graduate students in running workloads in on-premise HPC environments, national research computing resources, and cloud environments; leveraging high-speed research
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environments, and high-performance or parallel computing is desirable. The candidate will also prepare technical documentation, reports, peer-reviewed publications, and presentations and collaborate
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research software. Applicants should demonstrate strong expertise in scientific programming, parallel computing and high-performance research software. Experience with Fortran and/or C++, MPI/OpenMP and
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integration of novel computer architectures for advanced edge computing scenarios. The research involves design space exploration and the implementation of digital systems using FPGAs, with potential for
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Storage Scale) parallel file system, to keep research computing services reliable and performant. Contribute to the build, deployment, and operations of a new NIST 800-171–compliant secure research
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Job Description Apply now Senior Executive, Space Management Services & Projects University-Level Unit: School of Computing Faculty/Department-Level Unit: Dean's Office (School of Computing) Employee
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(Docker, Kubernetes), and robust debugging techniques. Experience with cloud platforms (AWS, GCP, or Azure) and parallel computing, with a focus on cost-efficient and scalable model deployment. Skilled in
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NTNU Norwegian University of Science and Technology | Trondheim, Sor-Trondelag | Norway | 27 days ago
create knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position Long term management of large scale computing infrastructures
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, and processor pipelines • Experience with GPU programming or parallel computing (CUDA, OpenCL, OpenMP) • Familiarity with systems engineering practices and requirements development • Experience with
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nodes including parallel filesystems and high-performance network. This is partly technical and partly people leading role which involves supervision of 3-4 experienced HPC system administrators. The