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metals, and potentially as superconductors. The first member of this family has now been synthesized, and its measured structure matches the prediction. Your task will be to find the rest of the family
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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group website: https://johannescairns.github.io/meg-lab/ . Description of the project The doctoral project, "Predicting eco-evolutionary dynamics in a polymicrobial urinary tract infection model
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-standing research focuses on how urban form—particularly spatial configuration and density—structures pedestrian movement, co-presence and urban activity. The group is now extending this evidence-based
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structures, or varying degrees of centralization and decentralization. The project aims to enable adaptive coordination, especially in contexts where multiple humans and multiple autonomous systems
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structures, or varying degrees of centralization and decentralization. The project aims to enable adaptive coordination, especially in contexts where multiple humans and multiple autonomous systems
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analytical, materials, polymer, inorganic, and medicinal chemistry meet to address fundamental research questions for a sustainable future. At CAS, you will join a dynamic and collaborative workplace with
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Lab at the Swedish University of Agricultural Sciences (SLU) in Uppsala, Sweden. The Yant Lab develops computational and genomic approaches to understand evolution, adaptation, genome dynamics, and
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academic environment for research and education in geoscience. It offers a broad range of expertise that can contribute to solving important societal issues. Earth is a dynamic and constantly changing planet