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skills (Python, R, Java, …) and interest to work in polyglot software environments Practical experience with machine learning and AI methods and an interest to learn, adapt and apply ML methods
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until the positions are filled. Contact: Dr. ir. Gerben R. Stouten Environmental Biotechnology, Department of Geosciences, University of Tübingen
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RNA sequencing workflows and basic bioinformatics • Experience with Python and R for transcriptomic data analysis We offer The position (TV-L13 (65%) salary according to German public sector regulations
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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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-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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-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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(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
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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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with experience in causal inference using panel data (e.g., Difference-in-differences) solid knowledge of Stata, R and/or Python for conducting econometric analysis previous knowledge of conducting