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for replication timing and directionality, GRO-seq for nascent transcription, and DRIP-seq for R-loop detection. These methods allow us to integrate replication, transcription, and DNA repair features at nucleotide
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of complex measurement data (e.g.,Python/R/MATLAB or comparable analysis environments) and structured documentation Good German and English language skills, written and spoken Willingness to travel Willingness
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-envbiotechspam prevention@ifg.uni-tuebingen.de . Applications are reviewed until the positions are filled. Contact: Dr. ir. Gerben R. Stouten Environmental Biotechnology, Department of Geosciences, University
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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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-domain context. Good knowledge of programming languages (e.g. Python, R, Java, C#, C++) Good knowledge of object orientation and at least basic knowledge of UML Knowledge in the field of machine learning
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corresponding projects Your Profile: Master’s degree in computer science, bio/-cheminformatics or natural sciences Strong programming skills (Python, R, Java, …) and interest to work in polyglot software
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Freiberg, Sachsen | Germany | 10 days ago
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, and feature engineering # Very good
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://umg.recruiting-portal.com/r/z01o6dybsgn7kn8/PhD+student+position+fmd/37… Requirements Research FieldAllEducation LevelMaster Degree or equivalent Skills/Qualifications Your qualifications completed Master of
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, R, Python, or similar. You have excellent English language skills, both written and spoken. Knowledge of the German language is an advantage. You are a team player and like to take responsibility
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(e.g. Python, R) or a universal programming language (e.g. C#, Java, C++, Rust) Knowledge of the use of relational and non-relational databases Very good English skills (written and spoken) High