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Field
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engineering. · Proficient in programming languages, including Python, R, Julia, etc. · Proficient in database management systems, i.e., MySQL or Microsoft SQL Server. · Proficient in traffic
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applicants will have:*Expertise conducting spatial and statistical analyses*Experience with scientific computer programming in R and Python*Formal training or experience applying quantitative and spatial
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in R, Mplus, AMOS or other latent variable modeling software program Programming: R Population health or health systems Doctoral degree: A doctoral in social sciences (e.g. sociology, psychology
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, Computational Biology, Computer Science, or a related field. Additional Qualifications: • Proficiency in Python, R, SQL, and/or other relevant programming languages; knowledge of Java or C++; familiarity with
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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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publications in high impact journals, advanced proficiency in R and Python, and prior experience in cardiac imaging and high-dimensional data integration are essential. The postholder will be expected to work
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statistical 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
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publications in high impact journals, advanced proficiency in R and Python, and prior experience in cardiac imaging and high-dimensional data integration are essential. The postholder will be expected to work
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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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references Interested applicants should send us the necessary documents via email to: applications@msrm.tum.de quoting “PhD/Postdoc Application, Project R” in the e-mail subject line. Applications will be