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engineer novel materials inspired by biological examples. We will build phase-separated biomaterials from the bottom up and quantify them using precision experimental techniques. Cells operate by
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medical machine learning for a talented postdoctoral researcher (f/m/d) to deepen their expertise and interest in machine learning for medical image analysis and build their early scientific career. About
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analysis and Science writing skills Ability to work in a team, initiative and strong communication skills Very good written and spoken English Our Offer: We work on the very latest issues that impact our
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relevant to the Institute's research; experience with quantitative research methods and statistical analysis, ability to work independently and in interdisciplinary teams, with excellent organizational and
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receptors in living cells, the role of ligand binding and ligand-independent mechanosensing. The European Institute for Molecular Imaging (EIMI) is an interdisciplinary institute within the University
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technology. Our pre-studies have shown that full automation is possible in principle when formally verifying systems using reachability analysis. However, our pre-studies also showed that further research is
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). The empirical research should capture and analyze teaching and learning processes, for example by video analysis or eye-tracking. Development activities for instance may include AI tools, the creation
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-layer and cloud processes in the air-mass transformations that follow moist intrusion events into the Arctic. Using large-eddy simulation models, you will set up and run case studies of observed air-mass
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mesoscopic scale with a focus on X-ray and neutron diffraction as well as PDF analysis, supported by complementary experimental techniques or theoretical simulations Hands-on participation in experiments
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methodologies is desired. Other forms of experi-ence in community work or project facilitation, will also be considered. - Strong analytical skills and a proven interest in interdisciplinary analysis are required