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Postdoc position: mechanisms of autoimmunity & autoinflammation in inborn errors of immunity (m/f/d)
erythematosus (SLE). This project will integrate biochemical, immunological, and imaging techniques, along with co-culture of patient-derived organoids and model organisms combined with various –omics approaches
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Max Planck Institute for Nuclear Physics, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 28 days ago
Job Code: 10-2025 Job Offer from July 21, 2025 The Max Planck Institute for Nuclear Physics is one of 84 research institutes of the Max Planck Society for the Advancement of Science e.V. (MPG
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tissue samples, multi-parameter flow cytometry, molecular biology and fluorescence imaging will be preferred. We offer an interdisciplinary research environment that fosters innovation and collaboration
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coupled with DESI Imaging Mass Spectrometry, HPLC-DAD-MS, HPLC-HRMS, GC-MS, automated extraction systems such as Accelerated Solvent Extraction (ASE) and Supercritical Fluid Extraction (SFE), FT-IR
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: recruiting(at)ifo.de . The letters will then be added to your application in our system and forwarded to the appropriate people. Please make sure to use only .pdf files, Word documents and images in .jpg
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
Job Code: 10-25 Job Offer from July 04, 2025 The Max Planck Institute for Multidisciplinary Sciences is a leading international research institute of exceptional scientific breadth. With more than
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) at the Technical University of Munich (TUM) is looking for a talented postdoctoral researcher (f/m/d) to deepen their expertise and interest in machine learning for medical image analysis and built their early
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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
nodule collector prototype Patania II in the Clarion Clipperton Fracture Zone (CCZ) in the subtropical Eastern Pacific in 2021. Undisturbed conditions including their spatiotemporal variability (‘baselines
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within this project include: Extending DeepRVAT towards non-coding genetic variation Applying DeepRVAT to population-scale single-cell readouts Integrating population data with experimental perturbation
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-learning algorithms Versatile data-science knowledge, including image and DNA sequences processing Programming skills in Python or other modern programming languages supporting AI and bioinformatics