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Field
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with the architecture and performance characteristics of distributed computing and data handling systems. Extensive knowledge in computer science or related field, demonstrated through education or
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based on MPI. Experience working with the architecture and performance characteristics of distributed computing and data handling systems. Extensive knowledge in computer science or related field
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media, news media, digital signage, podcast, signature events, and executive presentations. This candidate must be comfortable managing multiple projects in parallel, many of which require the execution
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referred specimens for diagnostic testing: Perform required training on and demonstrates proficiency with multiple laboratory information systems Perform referred specimen accessioning for the laboratory
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algorithms and complexity theory, including in both well-established settings (e.g., sequential computation on a single machine and distributed/parallel computation on multiple machines) as well as emerging
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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
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IT staff and partitions large systems into components that enable parallel solution development by multiple teams. The scope of a technology specialization is described in the supplemental, however
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the physical effects of the propagation environment; computational/numerical modeling using novel and standard approaches, such as, entropy maximization, immunology, and high performance parallel processing; and