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transcriptomics and fluorescence imaging data to improve our understanding of complex biological systems. The project is particularly suited to a candidate interested in probabilistic modelling, latent-variable
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the resulting methods to spatial transcriptomics and fluorescence imaging data to improve our understanding of complex biological systems. The project is particularly suited to a candidate interested in
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in practice when the dimension of the data-generating process exceeds the sample size, this project will contribute by developing the distributional properties of generalized inverses of the high
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering