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Postdoctoral Researcher as a Junior Research Group Leader (m/f/d) - Research on and Implementation o
The Leibniz-Institut für Wissensmedien (IWM) conducts research into the acquisition and sharing of knowledge and cooperation with digital media. The institute is a member of the Leibniz Association
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physics, engineering, medicine, biology or a related field Practical experience in optics, signal processing and working with experimental setups (e.g. MATLAB) Interest in medical diagnostics and innovation
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Contact persons Research Back Research infrastructure Back Digital Humanities Center LISA+ Quantitative Biology Center (QBiC) Tübingen Structural Microscopy (TSM) Research Data Management (RDM) Core
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. We perform research and testing in materials science, materials engineering and chemistry to improve the safety of products and processes. At BAM we do research that matters. Our work covers a broad
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via email to applications@mirmi.tum.de quoting “Postdoc Position in Dexterous End-Effectors for 6G Tactile Tele-surgery” in the e-mail subject line. The position will be filled as soon as possible and
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journals and edited volumes, and present your work at international conferences. Collaborate with our digital humanities team to engage actively in the development and data curation for the "OMnibus of
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signaling and metabolism in a truly translational context to help patients? Apply, join and succeed in our team in the pursuit of improved understanding of heart failure with preserved ejection fraction
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to investigate the chemical diversity, biochemical interactions, and biological roles of plant and fungal natural products, with an emphasis on specialized metabolites, signalling molecules and relevant molecular
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) in English from now until October 17th, 2025 at the latest. Please indicate the desired start date on your application. Further information about ongoing research in the Key lab and our philosophy can
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approaches for the analysis of omics, digital, and molecular pathology data, to support precision medicine. We work with real-world data in a highly interdisciplinary environment fostering translational