467 computer-security-"https:"-"https:"-"https:"-"https:"-"https:"-"IFM" Fellowship positions in United States
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Requirements Strong computing and strong background/expertise in clustered data, survival data, causal inference or measurement error are desired. Strong written communications Additional Information: Per
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sophistication, including strong statistical skills and comfort with large-scale or complex data. Experience with computational text analysis, such as NLP methods, historical text processing, topic modeling
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project that will illuminate aspects of historic and/or current antisemitism. The recipient will be affiliated with the Center for Jewish Studies, the Julis-Rabinowitz Program on Jewish and Israeli Law at
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, computer science, architecture, and engineering to develop scalable, data-informed solutions in sustainable design, construction, and energy management. The Cluster aims to modernize—and ultimately revolutionize
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of developmental and/or regenerative neurobiology, neuronal cell biology, and/or nervous system disease involving the cerebral cortex to join an ongoing research program focusing on the developmental, degenerative
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Posting Details Position Information Job Title Mathematics and Statistics Postdoctoral Fellow Pool Posting Number P0543F Position Summary Information Job Description Summary The Department of Mathematics and Statistics at Auburn University invites applications for several one- or two-year...
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assessment, and ambulatory behavioral assessments to precisely track brain and cognitive change over short intervals. The program of research seeks to understand individual differences in aging trajectories
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 2 months ago
population genomics, GWAS, and/or QTL analysis. Proficiency in computational/data analysis environments (R, Python, Unix/Linux, HPC systems). Strong communication skills and ability to work effectively within
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treatment-control interference; · Programming/scripting knowledge suitable for processing raw data for analysis (e.g., text manipulation); · One or more computational environments for statistical analysis
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to program development, impact measurement, and continuous improvement in academic environments. Awareness of emerging trends in pedagogy and their implications for student learning and faculty development