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and physics is curious, open-minded, a team player, and well organized has interest in modelling complex systems, ideally for particle radiation effects. Experience in these areas is therefore highly
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on uncovering mechanisms of CNS myelination and neuroinflammation. The lab combines advanced in vivo imaging approaches with complex models of demyelinating disease to investigate glial cell dynamics, immune-glia
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, spectroscopy, synthetic organic and polymeric synthesis, biophysical and bio-chemistry, theoretical chemistry and mathematics , to advance the understanding of the emergence of complexity in molecular systems
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, to characterize immune cell dynamics in murine models of inflammation and cancer. RESPONSIBILITIES: Developing and performing computer simulation of MRI contrast of labelled cells and tissue Labeling and tracking
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cytotoxic payloads (Trastuzumab Deruxtecan and Trastuzumab Emtansine). These models will allow us to explore how payload differences influence both tumor cell killing and immune modulation within the TME. In
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analysis Collaborate closely with colleagues across disciplines to integrate findings into a comprehensive model of atherosclerosis pathophysiology Analyze data, interpret results, and present conclusions
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qualification (usually PhD). Tasks: The aim of the project is to design, model, fabricate and test a wireless micro-sensor which uses magnetic fields for sensing in biological soft tissues. For further
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mechanisms. The overall goal of the research project is to develop process understanding and parametrizations that lead to improved, energetically consistent, climate models. Close collaboration with the other
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analysis problems, especially tracking the motion of objects, which are driven by real applications in life science research Developing solutions to integrate large foundation models into microscopy image
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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