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of Principal Investigator, Dr. Lesley Thorne . The selected candidate will work on highly complex and technically broad challenges with ecologists at Stony Brook University and with Dr. Richard Phillips
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ocular fibrosis. We focus on understanding the complex interactions among retinal pigment epithelial (RPE) cells, macrophages/microglia, endothelial cells, and fibroblasts, with an emphasis on how
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ocular fibrosis. We focus on understanding the complex interactions among retinal pigment epithelial (RPE) cells, macrophages/microglia, endothelial cells, and fibroblasts, with an emphasis on how
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, Probabilistic Inference, Algebraic Topology and Wavelet analysis theory. Familiar with Matlab/Python/C++ programming. Experience with Pytorch and multi-GPU model deployment. Experience in analyzing complex
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, preferably with applications to AI systems ● Design, analysis, and modeling of AI hardware such as deep neural network accelerators or neuromorphic computing ● Emerging AI/ML models and hardware
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, Probabilistic Inference, Algebraic Topology and Wavelet analysis theory. Familiar with Matlab/Python/C++ programming. Experience with Pytorch and multi-GPU model deployment. Experience in analyzing complex
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, preferably with applications to AI systems ● Design, analysis, and modeling of AI hardware such as deep neural network accelerators or neuromorphic computing ● Emerging AI/ML models and hardware
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-based genetic screens (CRISPR-Cas9, CRISPRi) to investigate gene regulatory networks in cancer biology. ● Collect, analyze, and interpret data, including literature review and applying specialized
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gene regulatory networks in cancer biology. * Collect, analyze, and interpret data, including literature review and applying specialized techniques in the field. * Prepare manuscripts for publication in
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-based genetic screens (CRISPR-Cas9, CRISPRi) to investigate gene regulatory networks in cancer biology. ● Collect, analyze, and interpret data, including literature review and applying specialized