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into electrical signals. We identify and characterize the molecular components involved in this transduction process using state-of-the-art molecular biology, electrophysiology, and biophysical techniques. We
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: Mathematical modelling will be used to investigate the processes and consequences of disease progression from liver fibrosis to cirrhosis to hepatocellular carcinoma (primary liver cancer), to select specific
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these emergent processes and is looking for a PhD student / PostDoc (f/m/d) The Mission Understanding how multicellular systems organize themselves into tissues is a central challenge in modern biology and
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data processing, image/signal analysis, and machine learning. ✅ Familiarity with instrument control, calibration, and automation workflows. ✅ Excellent written and oral communication skills in English
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regulation of cellular processes such as translation, protein folding, cytoskeletal dynamics and cell differentiation. Recently, a new class of regulatory switches (C-switches) was discovered that use
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GESIS - Leibniz Institut für Sozialwissenschaften | Mannheim, Baden W rttemberg | Germany | 2 months ago
, involving software developers, language experts and language service providers. Your tasks will be: Managing the project from a content point of view, in close collaboration with a GESIS internal software
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one pdf file. Please indicate the job announcement ID 3164. Review of applications will begin on November 1, 2025, and continue until the position is filled. If you have any questions, please contact
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tissue injury & healing. This project will investigate mitochondrial dysfunction in intestinal inflammation (inflammatory bowel diseases, IBD) and the integration of bacterial signals at the intestinal
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The Leibniz Institute for the History and Culture of Eastern Europe (GWZO) conductscomparative research into historical and cultural developments and processes in the region between the Baltic Sea
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19.07.2022, Wissenschaftliches Personal The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current