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developing deep-learning systems; graph neural networks & representation learning (VAEs/transformers) preferred. Experience in statistical modeling & ML for high-dimensional data (training, evaluation
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challenges, including data analysis, hypothesis generation, and experimental design optimization. We seek a highly motivated postdoctoral candidate with expertise in AI, machine learning, and computational
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structural biology to tackle challenging scientific questions. Your responsibilities will include, but are not limited to: Multi-omics analysis of bulk and single-cell sequencing data. Developing deep learning
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The Position A Postdoctoral fellow position is available for a highly motivated and independent candidate to join the laboratory of Dr. Sara Mostafavi in the Department of Computational Sciences