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on estimated movements using eDCCs. The research will focus on data simulated using the Monte Carlo method and real data from clinical SPECT scanners with a parallel collimator, such as those available at LUMEN
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/GPUs. These devices provide massive spatial parallelism and are well-suited for dataflow programming paradigms. However, optimizing and porting code efficiently to these architectures remains a key
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manage a number of tasks in parallel. A full list of essential and desirable criteria can be found in the Job Description and Person Specification. Applicants are asked to set out in no more than two pages
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conferences to disseminate research findings, and mentoring junior team members in preparation for their presentations. In parallel, the principal investigator (PI) will provide mentorship aimed at supporting
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computing architecture and/or system software such as massively parallel computing, big data infrastructure, large-scale data system, or system software in general has been considered as important
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function differentiation, compositional Bayesian inference techniques); analyzing what is required (e.g., choice of data structures, static analyses and compiler optimizations, parallelism and concurrency
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Ability to code in a programming language to solve computational problems Awareness of computational infrastructure and its upkeep Ability to work on multiple projects in parallel and set priorities
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English. We welcome applications from candidates interested in exploring either competence in closely related language varieties (multilectalism), parallel language learning, or a combination of the two
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for the visualization, manipulation, optimization and implementation of static and dynamic parallel transmit solutions crucial for advancing the use of high field systems in human applications. Work Arrangement: The
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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