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-on experience in training large neural networks (generative models). Hands-on experience in medical image reconstruction. Preferred Qualifications: Proficiency in Python, C/C++, and Unix-like operating systems
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-on experience in training large neural networks (generative models). Hands-on experience in medical image reconstruction. Preferred Qualifications: Proficiency in Python, C/C++, and Unix-like operating systems
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complex environmental samples. ● Strong understanding of QA/QC protocols in analytical laboratories. ● Excellent problem-solving, organizational, and communication skills. ● Ability to work both
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complex environmental samples. ● Strong understanding of QA/QC protocols in analytical laboratories. ● Excellent problem-solving, organizational, and communication skills. ● Ability to work both
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in studies. Previous experience in coordinating human research studies and expertise in managing data generated. Preferred Qualifications: Prior experience in deciphering complex trait genetics and
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on data generated in studies. Previous experience in coordinating human research studies and expertise in managing data generated. Preferred Qualifications: Prior experience in deciphering complex trait
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on data generated in studies. Previous experience in coordinating human research studies and expertise in managing data generated. Preferred Qualifications: Prior experience in deciphering complex trait
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pathologies, and ocular fibrosis. We focus on understanding the complex interactions among retinal pigment epithelial (RPE) cells, macrophages/microglia, endothelial cells, and fibroblasts, with an emphasis
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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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pathologies, and ocular fibrosis. We focus on understanding the complex interactions among retinal pigment epithelial (RPE) cells, macrophages/microglia, endothelial cells, and fibroblasts, with an emphasis