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, including tumor implantation, treatment studies, tissue processing, and extensive immune profiling Collaborate within a multidisciplinary team, present data internally and externally, and contribute
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The Leibniz Institute of Virology (LIV) is an independent research institution for basic biomedical research. As a foundation under civil law and member of the Leibniz Association, the Institute
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organizational levels of the brain – from molecular and cellular processes to complex neuronal networks and behavior. The research group “Behavioral Neuroscience” focuses on decoding the exact mechanisms behind
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The Leibniz Institute of Virology (LIV) is an independent research institution for basic biomedical research. As a foundation under civil law and member of the Leibniz Association, the institute
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focuses on molecular and biophysical mechanisms of presynaptic plasticity, in particular how the Rab-GTPase regulator Blobby and aPKC/Par-1 kinase signaling jointly control the organization and remodeling
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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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cutting-edge technologies — from single-cell multi-omics and deep learning to live-cell imaging and stem-cell–based organoid systems — to predict, observe, and manipulate epigenetic processes. Our lab and
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 28 days ago
-cell imaging and stem-cell–based organoid systems — to predict, observe, and manipulate epigenetic processes. Our lab and institute host an international team of researchers from more than 15 countries
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of clinicians, engineers, and computer scientists, and contribute to publications and conference presentations. Profile PhD track: Master’s degree in Computer Science, Biomedical Engineering, Data Science, or
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Limitation:Temporary (2 years) Contract:TV-L Your tasks Develop and implement computational pipelines for processing and analyzing ONT RNA/cDNA sequencing data. Apply machine learning and signal processing approaches