86 parallel-and-distributed-computing-"Multiple" Postdoctoral positions at Conservatorio di Musica "Santa Cecilia"
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in a dynamic, curious, team-oriented, and industrially connected environment. Our projects span multiple schools and centers at Stanford University as well as external collaborations with other
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with parallel computing and high-performance computing environments; a working knowledge of FORTRAN; experience working with large NetCDF data sets; experience with Matlab and/or Python; an interest in
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protocols. Provide hands-on technical/operational support for preclinical FLASH irradiation experiments of multiple users in collaborating laboratories Contribute to data analysis, manuscript preparation, and
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test the hypothesis that the targeting of multiple mutations will enhance survival in glioblastoma. We propose to identify an amino acid substitution that can enhance proteasome processing followed by
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/modeling, at the Electrical and Computer Engineering Department, and in collaboration with the Applied Mathematics Department, Santa Clara University. This is an in-person position at Santa Clara University
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for this cohort is the Future of Species Range Shifts. The program will include nine postdoctoral fellows distributed across the country, with one fellow based in each of the nine Regional CASCs . Each postdoctoral
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their own research program, under supervision of the principal investigator, as well as work across the many outstanding resources, institutes (e.g. Institute for Human-Centered AI) , and faculty labs across
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, or sustainable agriculture. Experience working in interdisciplinary settings that combine multiple perspectives and disciplines, ideally across topics including nutrition, sustainable food choices, food systems
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conduct independent and collaborative research in computational social science, contribute to the collection, management, and analysis of novel datasets, and co-author publications in peer-reviewed journals
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disease, including AI-powered tools and new statistical techniques that leverage large datasets, heavy computational capabilities, and/or a robust understanding of biological systems to provide unique