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to leverage CPU and GPU cluster computing resources for large-scale image analysis. Train and mentor users on a variety of microscopy modalities, including confocal, STED, SIM, FLIM, TIRF, STORM, HCA, and
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, combining scientific excellence with real-world impact. They operate within a unique ecosystem that includes the AI Foundry (state-of-the-art GPUs and engineering capacity), the System for User Knowledge (SUK
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, workflow orchestration, and high-throughput data processing, as well as experience working with large biological datasets in GPU-based computing environments. What we provide: A competitive compensation
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modeling, or ordinary/stochastic differential equations. Experience in computational, statistical, or machine learning method development in any discipline. Experience in GPU computing frameworks (e.g