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, predict, and treat diseases. You will work with multimodal biomedical datasets including omics, imaging, and patient data and apply cutting-edge AI models such as graph neural networks, transformer
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expertise in intravital microscopy in the Kiefer Lab at the European Institute for Molecular Imaging. Uncontrolled inflammatory processes are at the basis of many widespread diseases including myocardial
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of Münster developing imaging methods allowing to visualize molecular processes inside organisms, tissues and cells. With the help of imaging, we perform cutting-edge research in vascular, inflammatory
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Leicester Institute of Structural and Chemical Biology, United Kingdom. Your work may include clinical and biomedical projects. It may also include technique development work aimed at combining imaging
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classification for hyperspectral and fluorescence lifetime datasets. Optimize algorithms for batch processing and scalability, enabling high-throughput, automated analysis of large image datasets from fluorescence
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hub investigating the critical roles of ion channels—particularly the TRP superfamily—in physiological and pathological processes. Our interdisciplinary approach spans from foundational
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activity will be academic research in association with a faculty member or team. The appointee will be responsible for preparing samples for X-ray and electron microscopy (EM) imaging (e.g., animal
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data and clinical information. Applicants must hold (or be close to completing) a PhD in a relevant field and have expertise in modern computer vision and AI research. Experience with biomedical data
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We are recruiting a group of postdocs who are eager to pursue ground-breaking biomedical research, and we will help them to establish themselves as future scientific leaders. This postdoc program is
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genomics, virtual cell models Graph-based neural networks, optimal transport Biomedical imaging, deep learning, virtual reality, AI-driven image analysis Agentic systems, large language models Generative AI