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will develop novel machine learning and artificial intelligence (ML/AI) methods for genomics data, especially: large-scale single-cell genomics data, high-definition spatial genomics, digital pathology
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. Being independent and able to interface with multiple work groups is critical. We use biochemical, proteomic, cell biology, molecular biology, genomic, epigenomic, and mouse model approaches and
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of degree equivalency. Preferred Qualifications: Background in medical imaging, imaging simulation, and machine learning. Programming in Python, MATLAB, C, CUDA. Other Requirements: This position is hybrid
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