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an outstanding and ambitious postdoctoral researcher in computational biology to pioneer understanding and modeling of tissue architecture using single-cell and spatial transcriptomics data. The focus will be
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at SLU in Umeå. About the position We are looking for a postdoctoral researcher with a particular interest in forest landscape modelling. As part of a two-year postdoctoral project, you will use
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, ecosystem ecologists, biogeochemists, and modellers, who have a shared vision, and combine empirical and modelling approaches to accomplish this. Our research focuses on the study of soil carbon and nutrient
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platform to identify and optimize therapeutic candidates. Our group specializes in developing technologies to assess the multicellular environment within three-dimensional microtumor models. The project
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platform to identify and optimize therapeutic candidates. Our group specializes in developing technologies to assess the multicellular environment within three-dimensional microtumor models. The project
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emerging research field that uses machine learning, data analysis and computational modelling to guide the discovery, characterization and optimization of new materials. By accelerating innovation cycles, AI
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tissue formation, and limited spatial precision. Building on our recent advances in enzyme-triggered electrode fabrication in living systems (Strakosas et al., Science, 2023, https://doi.org/10.1126
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focuses on in situ formation of organic electronic materials in living environments, enabling new ways to create soft, adaptive, and spatially precise interfaces with biological tissue (see, for example
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(USBE) is recruiting one to two PhD students in Statistics for the research project “Next-Generation Latent Variable Models for Social Data Science”. Application deadline: November 4, 2026. We