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the field of hyperspectral fluorescence imaging and detailed optical spectroscopy of the interaction of carbon nanotubes with chiral molecules adsorbed on or encapsulated within the SWCNTs. Position You will
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-agent AI, cooperative vision, and compression protocols so fleets of intelligent machines can perceive the world—robustly, efficiently, and in a trustworthy manner—even when individual sensors fail
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head-on. We will reinvent generative cooperative vision and semantic compression methods so fleets of intelligent machines can perceive the world robustly, efficiently, and in a trustworthy manner—even
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. This will involve investigating techniques for model compression and efficient inference to enable on-board condition monitoring directly at the wind turbine, reducing data transmission requirements, central
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Arabidopsis lines. to use advanced fluorescence confocal microscopy coupled to microfluidics to image and quantify the relative whereabouts and dynamics of key components of the cell wall integrity pathway, in
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this, we integrate mouse genetics & in vivo imaging, CRISPR gene editing, single-cell and spatial transcriptomics, high-content imaging & bioinformatics, electrophysiology & disease modeling Our lab culture
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to image and quantify the relative whereabouts and dynamics of key components of the cell wall integrity pathway, in different genetic background and different experimental conditions. to identify novel
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Programming experience in Python Excellent communication skills and fluency in English Collaborative personality with attention for detail Experience in imaging or spatial omics data analysis Background in
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) detection, we will make AI for medical imaging transparent, robust and data-efficient. Position Overview As a postdoctoral researcher, you will forge next-generation explainable medical foundation models. You
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; molecular cloning and genetic manipulation (e.g., CRISPR/Cas9, siRNA); fluorescence/confocal microscopy and/or live-cell imaging; good analytical and problem-solving skills, with an interest in applying