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extraction, qPCR, cloning etc.), biochemistry (eg, metabolomics using LC-MS, extraction and purification of plant metabolites), bioinformatics (amplicon sequencing/metagenomics). Strong interest in tree
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or functions (e.g., by phages) – to optimize microbiome composition and function Improvement of our current tool for microbiome modelling Your profile Masters, Diploma or equivalent degree in Bioinformatics
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an interest in systems biology approaches and develop skills to apply bioinformatics on newly generated and available omics data sets. If you are interested in the position of this project, please
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the knowledge graph Your profile Masters, Diploma or equivalent degree in Bioinformatics or similar, obtained by the start date Experience in programming and databases Basic biological understanding Proficiency
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approaches and develop skills to apply bioinformatics on newly generated and available omics data sets. If you are interested in this project, please select Ruf as your group preference in the IPP application
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, or similar. You have laboratory experience and an interest in developing your bioinformatic skills. You have very good written and oral communication skills in English. Requirements: The position
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Max Planck Institute for Biology of Ageing, Köln | Koln, Nordrhein Westfalen | Germany | about 1 month ago
, Bioinformatics, Biophysics, Genetics, Medical Biology, Translational Medicine, or related fields Students with excellent academic performance in their BSc and MSc studies and a clear interest in the above
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position (including biology, medicine, biochemistry, bioinformatics or a related discipline, depending on each PhD project) or its equivalent that would entitle them to a doctorate one month before the labor
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: 29.07.2025 Limitation:Temporary (2 Jahre, Verlängerung angestrebt) Contract:TV-L Your tasks Single-cell multiomics in primary cells: wet-lab experiments and performing bioinformatic analyzes on the single-cell
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and