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development and high-performance computing. The division is currently in an expansive phase in new emerging areas such as cloud and fog computing, data science, and artificial intelligence, where it plays key
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image analysis software (e.g. Fiji, Napari, scikit-image). Familiarity with high-performance computing or cloud environments. Experience with multimodal or correlative imaging data (light/electron
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experimental scientists. Desirable (but not required): Experience with imaging technologies (e.g., Xenium, MERFISH, seqFISH) and associated data formats Familiarity with cloud computing environments or high
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Knowledge of tissue segmentation, spatial registration, or histology-based data alignment Familiarity with high-performance computing environments or cloud-based data analysis platforms About the employment
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management, high-performance computing systems, GPU acceleration, and parallel file systems * Documented experience with container and cloud technologies such as Docker, Helm, and Kubernetes * Ability