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Field
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experience with methods of molecular biology and/or in the field of histology Experience in animal experimentation is an advantage Knowledge of statistical methods for data analysis Very good written and
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of the PRIDAS is developing and providing data science support services, processing and analysis methods, as well as management of highly complex multimodal data. Our research with primates involves a combination
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experience in molecular biological methods, microbiology and cell cultivationmethods, sterile work and, optimally, handling of complex communities. Understanding of sequencing-based microbiome analysis methods
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performance, detect artefacts, and ensure scientific rigor Proficiency in Python (or Julia/R) for data handling, ML model development, and statistical analysis Ready to work with time‑series data, sensor fusion
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for the efficient analysis of the experimental data. For more information, visit our web page www.soft-matter.uni-tuebingen.de We are looking for a motivated PhD student to contribute to the studies of protein
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elucidation and (bio-)chemical methods, interconnecting biochemistry, pharmacology, and medicine and foster the individual development of young researchers. Further information: https://www.medizin.uni
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machine learning tools for the efficient analysis of the experimental data. For more information, visit our web page www.soft-matter.uni-tuebingen.de We are looking for a motivated PhD student to contribute
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and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team
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-based metabolic modeling, next-generation sequencing data analysis (RNA-Seq, scRNA-Seq, metagenomics) and statistics is essential Given the international nature of our research group, excellent
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topics and debates in ecology • Experience with a programming language (e.g., R or Python) and data analysis • Sound knowledge of English and the ability to write scientific publications