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be focused primarily on the development and application of novel computational algorithms to analyze and integrate diverse omics datasets, including bulk and single-cell RNA-seq, ADT-seq, ATAC-seq, DNA
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-cell and spatial-omics research. The ideal fellow will be interested in developing and applying novel computational algorithms to novel datasets generated in the setting of non-neoplastic and neoplastic
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typologically diverse languages Creating self-supervised learning algorithms that can assess phonological development and speech complexity in children from birth through age 6, with applications to both typical
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datasets and interpret results, Design and implement state-of-the-art machine learning models, algorithms, and statistical models, Participate in literature searches, report writing and manuscript
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together experts in systems neuroscience, AI, and engineering. This ambitious initiative promises to offer unprecedented insights into the brain's algorithms of perception and cognition while serving as a
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will be focused primarily on the development and application of novel computational algorithms to analyze and integrate diverse omics datasets, including single-cell RNA-seq, spatial transcriptomics and
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Information Schedule: Full-time Job Code: 4270 Employee Status: Fixed-Term Grade: E Requisition ID: 107866 Work Arrangement : Hybrid Eligible
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systems. Includes establishing medical reasoning benchmarks and automated / scalable evaluation methods. Developing recommender algorithms to predict specialty care with large-language model based user
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, interests, and alignment with the Lin Lab portfolio. The fellowship term is 1–2 years, with a preference for candidates able to commit to 2 years. Flexible work schedule Pay Range: $76,383-$115,000 Required
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, and with scheduling of lab activities. * - The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a