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skills. Submit both a cover letter and resume as one file. Competitive salary available based on qualifications, experience, and education of the selected candidate. The Advanced Research Computing (ARC
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distributed intelligence across the computing continuum. In this role, you will have the opportunity to lead and contribute to cutting-edge research aimed at transforming scientific data management and
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consultants develop and deliver HPC training programs and software distributions. As a core service facility, CAC provides high-performance computing and cloud computing services configured with a variety of
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computing, data science, and cyberinfrastructure environments supporting large-scale research workloads (Required) 2. Demonstrated knowledge of scale-out, parallel, distributed, object, and federated storage
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computing, data science, and cyberinfrastructure environments supporting large-scale research workloads (Required) 2. Demonstrated knowledge of scale-out, parallel, distributed, object, and federated storage
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technical support for research projects. Familiarity with shared memory and distributed memory parallelism (e.g., OpenMP, MPI, OpenACC), accelerators (e.g., GPUs), and large-scale file systems. Proven
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and epigenetic manipulation of AML cells and massively parallel reporter assays to investigate gene regulation in leukemia. Computational analysis of these data will involve applying existing tools and
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Program at the University of Michigan Taubman College of Architecture and Urban Planning seeks applicants for a one year position at the rank of Lecturer I in the architectural history curriculum
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | about 2 months ago
23 Jul 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile First Stage Researcher (R1
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images. However, the current limitations of desktop computers in terms of memory, disk storage and computational power, and the lack of image processing algorithms for advanced parallel and distributed