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Field
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excellent scientists with core expertise aligned with the IAT by guaranteeing a permanent contract upon successful evaluation. We are offering at our IAT campus in Geisenheim a full-time position as Tenure
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project TARGET-AI will bring together expertise from multiple research groups to advance the state-of-the-art in combining the most advanced techniques from deep learning/AI with rigorous statistical
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related field. Demonstrated expertise in analyzing high-throughput sequencing data and developing bioinformatics tools. Proficiency in programming languages such as Python or R, and experience with relevant
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sequencing, genetic modification, or protein biochemistry. You will work with bioinformatic tools and workflows to analyze sequencing results. Data analysis will include the use of statistical methods
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Max Planck Institute for Biology Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 4 days ago
-generation sequencing, computational biology, and genetic engineering strategies to drive these goals. The Group is within the Department of Microbiome Science, led by Prof. Ruth Ley. The project Methanogens
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 1 month ago
align with long-term vision and impact. About the Research Group Our Algebraic Systems Biology group led by Prof. Dr. Heather Harrington creates mathematical approaches for complex biological systems. We
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assays, flow cytometry, fluorescence imaging, RNA sequencing and biochemical techniques e.g. western blot, quantification assays). Combining diet treatments, pharmacological inhibition and genetic
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that can be embedded within spiking neural architectures Training and evaluation of these enhanced networks on sequence learning tasks and comparing their performance against state-of-the-art sequence
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developing data-driven modelling strategies, the professor will derive rules governing biological robustness across multiple organizational levels and enable predictions for systems’ behavior under
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developing data-driven modelling strategies, the professor will derive rules governing biological robustness across multiple organizational levels and enable predictions for systems’ behavior under