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"Multiscale imaging of organ-specific inflammation" (https://www.uni-muenster.de/CRC-inSight/research/area-A/A05.php ). Within this Centre, we are working together with Computer Science and Applied Mathematics
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. Strong background in neuroimaging techniques (e.g., MRI, PET) and computational modeling. Proficiency in programming languages such as Python, MATLAB, or R. Experience with image processing tools and
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engineered animal models, single-cell profiling, and advanced image processing and analysis. In addition, numerous institutional shared resources and core facilities support the laboratory by providing
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candidate will have a strong background in biomedical imaging and/or neuroimaging, including domains of physiological/metabolic/molecular imaging, computational image processing, or imaging hardware and
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enhanced MRI with computer simulations of image contrast and mass spectrometric imaging of tissue samples and single cells. This project is part of the Collaborative Research Centre 1450 “Insight
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-of-the-art facilities in genomics, imaging, cell engineering, protein production, animal and plant housing, microfabrication and prototyping (FabLab), and high-performance computing and IT services. As part of
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Postdoctoral Research Associate - Human Organoid/Assembloid Models of Schizophrenia-associated Risks
related fields within the last 3 years and who have experience in organoid development, patch-clamp techniques, 2-photon imaging, and computational neuroscience. The successful candidate will lead an
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analyses of the fundamental processes in living organisms. PROFILE: Candidates pursuing internationally recognized research in molecular or cellular biology, genomics, (epi)genetics, proteomics, systems
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cutting-edge research in areas such as pattern recognition, automation science, complex systems, AI for Science, robotics, machine learning, computer vision, natural language processing, biometrics, medical
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Institute for Cancer Dynamics and The Fu Foundation School of Engineering & Applied Science. You will collaborate daily with a diverse team of AI researchers, computational biologists, clinicians, and