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Field
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learning and AI methods are preferred Strong skills in R and/or Python. An interest in conceiving and designing new projects, in line with the groups’ research focuses. A proven track record showing
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Ellison Institute of Technology, Oxford Limited | Oxford, England | United Kingdom | about 15 hours ago
About EIT The Ellison Institute of Technology is establishing a world-class R&D facility at Oxford Science Park to drive sustainable innovation in health, food security, climate change, and AI
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University of California, Los Angeles | Los Angeles, California | United States | about 22 hours ago
, and/or machine learning techniques. Proficiency in programming in R and/or Python. Strong communication, writing, and interpersonal skills. Demonstrated ability to conduct independent research, lead
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of peer-reviewed publications and conference presentations in traumatic stress. Advanced data anaylsis skills, including use of statistical software (e.g. SPSS, R, SAS). Prior involvement in successful
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using UCINET software or coding in R. Writing and Presentation Development Synthesizing data from multiple sources to communicate findings via written, visual (i.e. sociograms), and multimedia displays
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accepting applications for a Postdoctoral Research Associate I in the reproductive toxicology laboratory of Dr. Zelieann R. Craig. Female metabolic and reproductive disease are a worldwide concern and
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& Operations Research (CMOR) is part of the George R. Brown School of Engineering and Computing, which ranks among the top 20 undergraduate engineering programs (US News & World Report). CMOR ranks #14 in
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statistics or statistical genetics. You must have strong quantitative analysis skills, using statistical programming packages such as R, as well as excellent communication skills. This is a full time, fixed
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and work cooperatively with others. Preferred Special Knowledge, Abilities and Skills: - Experience in programming languages such as Python, R, Stata, SAS, SPSS. - Strong command of large dataset
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responsibilities for this role include: Initiating, planning, and overseeing research projects Leading the analysis of complex multiomics data, including single-cell and spatial omics, using R or Python; experience