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methods (at minimum, linear regression (OLS) and logistic regression, as well as familiarity with some advanced methods). Proficiency with statistical software (e.g. R, Stata). Ability to work both
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for processing and interpreting mass spectrometry and mass spectrometry imaging data. Conducts git versioning control of R-based lab-wide scripts for basic statistical analysis and preprocessing. Performs
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Engineering, Computational Biology, Bioinformatics, Biostatistics, Systems Biology, and Statistical Genetics. Proficiency in at least one programming language such as Python, Julia, R, C, C++, Fortran, Matlab
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with mouse genetics, molecular biology (including functional genomics) and bioinformatics (including UNIX, R and Python for single cell analysis). You will be highly motivated, current with
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techniques Proficiency in statistical software (e.g., SPSS, R, or similar) Strong communication, teamwork, and flexibility. As one of the largest employers in Oxford we pride ourselves in the great experience
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) and effective scientific communication proficiency in one or more coding languages (e.g., Python, R, Matlab, or equivalent) strong interpersonal skills and the ability to work collaboratively within a
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of University Professor Sarah R Davies, which focuses on Technosciences, Materiality, and Digital Cultures and which studies the digital as material practice in contexts in which technoscience is created
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
infectious disease dynamics, epidemic modeling, and/or machine learning and artificial intelligence Preferred Qualifications, Competencies, and Experience * Writing programs and performing analysis in R and/or
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-mail: marja.mikkola@helsinki.fi HiLIFE/Institute of Biotechnology, University of Helsinki, Finland Selected publications Lan Q, Trela E, Lindström R, Satta JP, Kaczyńska B, Christensen MM, Holzenberger M
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imaging data. Conducts git versioning control of R-based lab-wide scripts for basic statistical analysis and preprocessing. Performs statistical analyses on large datasets to provide biological insights