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transmission modeling, statistical modeling, spatial data analysis, and cost-effectiveness analysis. In parallel, we conduct research on vaccine-preventable infections, developing and evaluating predictive
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Cryo-ET/EM postdoctoral position immediately available in Zhu Lab at Case Western Reserve University
techniques to investigate the in situ structure and physiological function of antimicrobial protein complexes. In parallel, we are also committed to advancing cryo-electron tomography (cryo-ET) technology and
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sampling of the parameter space of eclipsing binary observables, most notably photometric data from NASA’s Kepler and TESS missions. In parallel, the applicant will be given an opportunity to teach
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will join Andrej Prsa’s research team and work on the PHOEBE code , advancing our understanding of the processes in contact binary stars. In parallel, the applicant will be given an opportunity to teach
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application development in R and Python Experience with parallel computing Author or co-author of peer-reviewed literature publications Applicants cannot have received their Ph.D. more than five years before
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variety of conditions, in particular seeking evidence for Fermi acceleration of electrons under low-to-moderate guide magnetic field and parallel electric field energization under large guide magnetic field
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computational analyses in parallel to hands-on experiments Present research updates at the team meetings Writing, compiling the data, preparing publication-ready figures/tables, and assisting in the manuscript
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Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning, parallel storage systems and scientific
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. Experience in parallel programming (MPI, GPU, etc.). Proficiency in biostatistical methods. Ability to work independently and in group settings. Ability to learn quickly and apply new analytic techniques. Job
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has also been developing physics-based machine learning algorithms for three dimensional seismic modeling, imaging and inversion using high performance computation including parallelization on GPUs