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Max Planck Institute for Biology Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 6 days ago
by administrative, technical and scientific staff. At the earliest possible date, the Max Planck Institute for Biology is looking for a Postdoc in methanogen genetics (m/f/d). The position We
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, we collect and process your personal data in accordance with Articles 5 and 6 of the EU GDPR only for the processing of your application and for purposes that result from possible future employment
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The landscape of mRNA 5′ cap modifications is more diverse and dynamic than previously appreciated. This project aims to develop and apply a novel chemo-enzymatic method to label and extend the 5′ cap, enabling
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, computer scientists and physicists to combine our extensive expertise in neuroscience, imaging and AI into viable solutions Publish your results in high-quality scientific articles National and international
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biology Experience with multi-omics data analysis or AI-driven biomedical research is a plus Interest in tumor microenvironment, immune response, and systemic effects of local therapies Ability to work
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kindly inform you that submitted documents will not be returned after the completion of the application process, but will be destroyed in compliance with data protection regulations. Internal reference
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. engineering with a focus on process engineering or chemistry) and successfully completed doctorate Practical knowledge of electrochemistry, electrochemical converters and/or process engineering systems
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understood their data protection guidelines and privacy policies and that you agree to your data being processed in accordance with the selection process. The position is suitable for disabled persons
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, such as cell culture, is considered a plus. This position is offered as a joint postdoctoral appointment in the groups of Prof. Pernice at the Kirchhoff Institute for Physics and Prof. Boutros
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chronic autoimmune diseases of the nervous system. In this project, transcriptome data will be analyzed using state-of-the-art cell-based transcriptomics methods (single-cell RNAseq, single-nucleus RNAseq