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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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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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) 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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cortical neurons into mouse brain In vivo 2-photon Ca²⁺ imaging, visual plasticity paradigms, and behavioral analysis Transgenic mouse models combining SYNGAP1 mutations with humanized SRGAP2C
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cortical neurons into mouse brain In vivo 2-photon Ca²⁺ imaging, visual plasticity paradigms, and behavioral analysis Transgenic mouse models combining SYNGAP1 mutations with humanized SRGAP2C
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less authentic and personalized application PDF version of your full M.Sc. thesis (Please compress the figures if the file size is too large) At least one recommendation letter, preferably from your M.Sc
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image sequences. As a benchmark, end-to-end deep learning models will be developed using raw image data. In parallel, shallow learning models (e.g., Gaussian processes) will be explored based on insights