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redefinition. Architectural discourse has often relied on standardized bodily models that mask the diversity of lived, gendered, and capacitated experiences. In response, this project explores how a multiplicity
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the position Bioinformatic methods for single-cell metagenomic analysis Single-cell metagenomic sequencing (scMetaG) can provide maximum-resolution insights into complex microbial communities. However
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medical applications. Federated Bayesian learning offers a solution to those problems by allowing multiple participants to train machine learning models collaboratively, without sharing any data. Bayesian
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interactions with citizens. The position includes collaboration with researchers across multiple universities and international partners, and will involve empirical studies of AI use in public-sector