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paralleling SiC MOSFETs and power modules and must have experience with hardware methods to attenuate the oscillations successfully. Your experimental experience must be relevant to the tasks and obtained from
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Inria, the French national research institute for the digital sciences | Bordeaux, Aquitaine | France | 28 days ago
for the community - Use computer clusters (Plafrim, Jean Zay, ...) to evaluate big version of the model to test how their scale to numerous and/or high-dimensional data - Supervise interns related to the project
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, and a solid understanding of numerical analysis and familiarity with the use of analytical tools. They should also have knowledge and experience in parallel coding and spectral methods. They must have
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Shifting bits: Adaptive numerical precision for GPU software in particle physics and beyond (S3.5-COM-Richmond) School of Computer Science PhD Research Project Competition Funded Students Worldwide
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parallel clusters Integrate existing physical models into new software infrastructure for EOS research Benchmark against existing methods and support reproducible, open-science practices Collaborate closely
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translational research efforts. May develop an independent research program focused on genetics of susceptibility to complex disease or on development of computational methods for genetic research. Contributes
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opportunities for parallelism of the completion process, highlighting the potential for significant speedup in computations. Job responsibilities Research and Development: Conduct research to develop novel
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for massively parallel computers. Experience with quantum many-body methods. Preferred Qualifications: A strong computational science background. Familiarity with coupled-cluster method. Understanding
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to address computational challenges in different scientific domains. The successful candidate is expected to design, develop, and integrate novel computational techniques, including software and numerical
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the capture and detection of gases released during SEI formation, particularly CO₂, which can be identified in the form of carbamates. By combining TFBG technology with numerical methods, this project opens new