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devices for medical imaging and reaction monitoring, as well as for the development of sustainable photocatalysts. In this role you will develop machine learning (ML)-accelerated quantum mechanics in
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) the molecular mechanisms of how these components work together to govern dynamic regulation of specific cellular processes. Our innovative approach combines proteomics, biochemistry, and advanced imaging
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to develop and apply advanced remote-sensing approaches and AI-assisted image analysis to investigate the distribution, diversity, and spatial dynamics of Antarctic lichen communities, thereby contributing
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stimuli —enable whole-brain imaging of neuronal activity. This makes them an ideal model to study the neurons involved in these innate, evolutionarily conserved defensive behaviors. Your job As a PhD
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Knowledge of medical imaging Good knowledge of image processing Good knowledge of signal processing Good knowledge of AI for medical imaging Ability to use computer programming tools Ability to use word
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of biological processes using diverse experimental systems. We apply state-of-the-art technologies, including high-resolution fluorescence microscopy, quantitative proteomics (HDX and XL MS), (cryo-)electron
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organizational levels of the brain – from molecular and cellular processes to complex neuronal networks and behavior. In association with the SFB 1436, Neural Resources of Cognition (supported by the German
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protocols and have affinity with medical topics. You have knowledge of CT dosimetry and radiation physics. You have good experimental skills and experience with image processing. You have some knowledge in
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of the most aggressive forms of brain cancer. The student will contribute to a cutting-edge, interdisciplinary research initiative that integrates medical imaging, machine learning, and clinical data to improve
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PhD position in Metabolic microbiome modelling Research Group Medical Systems Biology, Institute of Experimental Medicine The University Medical Center Schleswig-Holstein is one of the largest