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training level. Preferred: · Experience generating or analyzing 3D organoid systems, particularly neural or sensory organoids. · Familiarity with single-cell RNA sequencing, lineage tracing, or time-course
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workflows (e.g., Kilosort, SpikeInterface) and neural data quality control Experience with imaging data processing, anatomical or functional registration, and 3D planning/reconstruction for recording
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in English, with a strong publication record commensurate with training level. Preferred: · Experience generating or analyzing 3D organoid systems, particularly neural or sensory organoids
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strong computational skills and a second experimental postdoctoral scholar to work at the interface between the two labs to integrate experimental and computational data. Key Responsibilities: Building 3D
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., diffusion transformers, multimodal representation learning) for modeling high-dimensional biological images. Develop computational methods to reconstruct and simulate 3D tissue architecture and dynamics