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of potential targets to delay vertebrate brain aging. Your Tasks: Performing bioinformatic analyses in R (including packages such as R/qtl) using existing genomic, transcriptomic, and proteomic datasets Applying
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qualifications in probilistic risk modelling, applied statistics and familiar with quantitative risk modelling measures strong data analysis skills and proficiency in R and Python; experience with other programing
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their immunogenicity; Develop analysis strategies for large data sets and correlation matrix using programming languages (R, Python, SQL, etc.); Scientific supervision of undergraduate and doctoral
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by Prof. Dr. P. R. Schreiner (JLU, Institute of Organic Chemistry) and Dr. U. Jakob (PRIF). The group works at the intersection of natural sciences and peace research. It aims to scrutinize current
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Excellent command of advanced statistical methods, such as network analyses, using the R programming language Strong publication record relative to the career stage, demonstrating research excellence and
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related field. You bring strong quantitative skills (e.g., R/Python, bioinformatics pipelines) and experience with high‑throughput sequencing and/or acoustic data analysis. You thrive in international
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statistical analysis and demonstrated proficiency in Python, R, and/or MATLAB Prior experience in neuroimaging data analysis, AI methods, and/or the computational modeling of psychological processes is