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Field
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evaluation process etc please visit: ambercofund.eu Minimum requirements • PhD in structural biology/chemistry, with excellent knowledge of biochemistry and molecular biology, including experience in protein
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forward in a broad field of research and education. We offer an international environment, with scientific areas ranging from fundamental chemistry, health and medical technology, materials science
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world with increasing digitalization and medical needs. Our research integrates materials chemistry, biological processes, physical analysis, process engineering and data science. We collaborate with
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survival surgeries using intracerebral injections of AAVs and intracardiac perfusions. • Dissect and prepare brain samples for imaging and biochemical analyses. • Conduct standardized techniques (e.g
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application date. Documented pedagogical experience. Experience in image analysis and/or computer vision, especially in the context of medical imaging Development, implementation and validation of AI tools and
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and setup: Within the project, we follow a multidisciplinary collaborative approach for which we are have recruited 3 PhD students focusing on material science, advanced in vivo imaging and computation
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completion of a relevant PhD/DPhil (e.g. in Computer Science, Engineering, or Medical Image Analysis) and possess sufficient specialist knowledge in medical imaging—particularly whole-body and abdominal MRI
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Research Centre (CRC) 1450 “inSight – Multiscale imaging of organ-specific inflammation” (https://www.uni-muenster.de/CRC-inSight) The project is based in the research group of Prof. Dr. Kerstin Steinbrink
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radar signals), (ii) Medical image analysis, and (iii) Machine learning/artificial intelligence. The division boasts extensive experience in fundamental research within computer vision, machine learning
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to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical, biological, and methodological