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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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of biomedical questions. RESPONSIBILITIES: Characterization of hypoxia reporter mice in vitro and in vivo Intravital imaging of genetically encoded hypoxia reporters in inflammatory disease models Development
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imaging technologies for the investigation of biomedical questions. RESPONSIBILITIES: You will generate fusion construct of plexins receptors with fluorescent proteins or tags for advanced microscopy You
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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
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improved patient outcomes Integration of findings into translational research, collaborating closely with clinicians, imaging specialists, and bioinformaticians to optimize interventional oncology treatments
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cancer Establish single-cell perturbation screening approaches to investigate cell fate decisions and disease mechanisms Integrate high-content imaging, single-cell transcriptomics, and functional assays