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modellers, molecular biologists and data scientists across IBG-3 and IBG-4 Communicate your science by presenting at conferences, publishing software and peer-reviewed publications Your Profile: Master’s
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and responsibilities Characterization of ion channel functions using electrophysiological, optical, biochemical, molecular, and cell biological methods Analysis and interpretation of experimental data
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, biophysical and bio-chemistry, theoretical chemistry and mathematics , to advance the understanding of the emergence of complexity in molecular systems. Our RTG combines science and research projects that start
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interdisciplinary research team. We study tumor evolution and immune microenvironment adaptation by combining functional genomics, experimental model systems, patient samples, and computational biology (Brägelmann et
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damage are responsible for many of the mutations that cause cancer and treatment resistance. But their dynamics, the molecular machinery involved, and their role in disease are still poorly understood
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fixed-term basis at the Chair of Animal Physiology and Molecular Biomedicine, Department of Animal Physiology at the Faculty of Biology and Chemistry with the opportunity for own academic qualification
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“Cellular Plasticity in Myeloid Malignancies: From Mechanisms to Therapies”. In this CRC we will focus on myeloid malignancies as a model to dissect the various molecular mechanisms that enable and regulate
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: 01.10.2025 Application deadline: 03.09.2025 Tasks Execution of experimental work in a mouse model of cortical multiple sclerosis Application of in vivo imaging and quantitative analysis methods Investigation
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-3 and IBG-4 work in action field 4 to establish a molecular basis of carbon storage in soil. The research relates structural-physical properties with chemical and biochemical analyses at the molecular
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amphibians and other aquatic vertebrates. Using advanced imaging, neurophysiological, and molecular biological methods, we investigate the olfactory system. Furthermore, we use the olfactory network as a model