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additional internal guidelines, procedures, or deadlines in place for this fellowship opportunity. The Canada Postdoctoral Research Award (CPRA) program recognizes and supports the next generation of
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closure modeling and/or high performance computing environments (MPI, CUDA) • Expertise in software development and computing tools (C/C++, python, git, parallel computing, etc.) • Experience with deep
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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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development. Knowledge of parallel scientific computing. Ability to meet project needs and tight deadlines. Present and publish results in peer reviewed papers and/or journal articles. Skilled verbal and
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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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DOE’s missions. This post-doc position presents a unique chance to conduct interdisciplinary collaborative research in BNL programs. Essential Duties And Responsibilities Conduct research in ML, LLMs
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computing, and parallel programming paradigms Strong publication record in reputable avenues Strong writing skills Strong skills in model development, data analytics, machine learning, and visualization
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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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acquisition (DIA), data dependent acquisition (DDA), and parallel reaction monitoring (PRM) proteomics experiments to fit the specific experimental needs of stakeholder cancer researchers. Manage a wide variety
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, Bioinformatics, Computer Science, Mathematics, Statistics, Data Mining, Parallel Programming, Supercomputing, or Cloud Computing. 3) Experience collaborating with diverse and geographically distant teams