1,083 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" Fellowship research jobs 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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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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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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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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. Processes, organizes and summarizes data, reporting results using a variety of scientific, word processing, spreadsheet or statistical software applications or program platforms including R, SAS, Python, and
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to accelerate the translation of AO imaging technology to wide-spread clinical use. The candidate will be also expected to provide analysis support for collaborative team members. Qualifications An ambitious
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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 | 3 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