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, transcriptional recording (Record-seq), and related technologies. Develop and apply statistical methods for demultiplexing, normalization/QC, effect-size estimation, biological inference, and predictive modeling
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experimental methods. Develop and apply methods for demultiplexing, normalization/QC, effect-size estimation, biological inference, and predictive modeling. Contribute to biological manuscripts and methods
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the eDIAMOND project, namely: Distributing model training and inference over a network of resource-constrained devices. Online, context-aware adaptation of Federated Neural Network Architectures based
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