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integration and statistical analysis while offering comprehensive data-driven decision support by overseeing the cleaning, integration, analysis, and storage of diverse datasets. The bioinformatician will work
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regression models using Stata or R. Collecting, managing, and structuring quantitative datasets Conceptualization of suitable empirical methodologies and models Statistical analyses of complex datasets and
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position). Preferred Education None. Licenses/Certifications None. Required Experience None. Preferred Experience None. Equipment Use of personal computer and proficiency in software and research statistical
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and deliver research to tight deadlines. The role will involve collaboration with experienced researchers across medical statistics, epidemiology, informatics, social science and integration
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knowledge of syntax-based statistical analysis tools. Strong skills in developing reproducible and transparent analysis workflows. Solid background in machine learning and analysis of large and complex
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field preferred. At least 5 years of relevant experience working in a psychological or education related laboratory or teaching research methods and statistics to Psychology students at the undergraduate
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collaboration with experienced researchers across medical statistics, epidemiology, informatics, social science and integration into the broader CHILDs team. This is an outstanding opportunity to develop a
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treatment using statistical methods. . WORKPLACE AND SCIENTIFIC SUPERVISION: The work will be developed at the CDRSP, under the scientific guidance of Researcher Dr. Juliana Rosa Dias. . GRANT FINANTIAL
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. • Join journal clubs. • Conduct a wide range of neural network analysis Job Requirements The project requires a researcher with a • PhD in Computer Science, Biostatistics, Statistics or other related
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, Cell Biology, Biochemistry Physics, (Electrical) Engineering, Statistics, Computer Science or a related field. Description: This is a full-time postdoctoral fellow position in a neurobiology laboratory