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: economic sociology, historical sociology, (historical) political economy, historical social science, computational sociology - advanced skill in quantitative, statistical methods (R, stata, Python), ideally
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participation in the establishment of a junior research group on R&D in this field is explicitly desired, as is intensive co-operation with the Faculty of Physics and Astronomy of the Friedrich Schiller
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Max Planck Institute for Chemical Energy Conversion, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | 2 months ago
of molecules. The Department of Electrosynthesis of Prof. Dr. Siegfried R. Waldvogel is presently looking for candidate for a Ph.D. student (m/f/d) - Discovery and Development of Electrosynthetic Reactions
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related field experience in the analysis of high-dimensional biological or medical datasets, ideally in the context of omics technologies proficiency in R/Bioconductor for statistical computing and analysis
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experience in NGS data analysis. relevant experience in statistical data analysis and programming (e.g. R, Python, Perl, C++) as well as with workflow management systems (e.g. snakemake, CWL, Nextflow
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technologies (e.g., Python, R, GIS, databases) Relevant experience in data collection, data analysis, and research data management Understanding of the national and international scientific environment and
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qualifications Leadership skills, management training, and experience in managing teams Knowledge of data analysis technologies (e.g., Python, R, databases, text analysis) Experience in working with sensor
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knowledge of statistical programming (e.g. Stata, R, or Python) - very good knowledge of English and German - very high level of personal responsibility and motivation as well as ability to work in a team
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/or genomics is required Strong analytical skills as well as broad experience with scripting languages (e.g. Python, R, Bash); knowledge of common bioinformatics software and access to databases
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experience in python and/or R demonstrable experience in multi-omics and/or single cell omics data analysis knowledge of machine learning principles and applications very good interpersonal and communication