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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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field. Expertise in analysis of single cell or spatial sequencing data is required. Experience in analysis of bulk RNA and whole exome sequencing data, and genotyping array data is preferred but not
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of biomolecular interactions using Biolayer Interferometry or surface plasmon resonance, structural determination using single-particle cryo-EM analysis, and atomic model building is required. Deep knowledge and
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electrophysiological data, wearable sensor data, or other multimodal neural and behavioral datasets and with advanced statistical or computational methods for neural decoding, motion‑tracking analysis, or physiological
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analysis, particularly for large-scale biological datasets. • Ability to conduct research with a high degree of independence while contributing effectively to collaborative, interdisciplinary teams. Choose