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within the project Next-Generation Latent Variable Models for Social Data Science. The scholarships are full-time for two years with start date 01 01 2027, or by agreement. Application deadline: November 4
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for acquiring, managing, analyzing, modelling, and visualizing geographic information to understand spatial patterns, processes, and relationships. Lund University GIS Centre at the Department of Earth and
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and variation. The successful candidate will develop innovative methods and models to advance our understanding of genome evolution and variation. The position is based in the Computational Genomics
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will collaborate with dedicated colleagues, have access to modern research infrastructure, and enjoy strong opportunities to attract external funding. You will have the space to make a real difference
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and variation. The successful candidate will develop innovative methods and models to advance our understanding of genome evolution and variation. The position is based in the Computational Genomics
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. The project explicitly seeks to move beyond static “average-day” demand modelling towards dynamic, behaviourally rich and policy-relevant simulations of how different groups adapt under changing conditions. The
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that decouple the chemical and mechanical inputs to the receptor. Fit the model to experimental measurements acquired across decoupled conditions, attributing receptor activation to each input. Use the resolved
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. The engineered immune cells are studied using both in vitro and in vivo models and characterized using advanced analytical methods, including multiparameter flow cytometry and high-resolution sequencing
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-adaptive security analysis platform. The platform performs static and dynamic security analysis. The idea is that not all analysis results shall be displayed the same way all the time, but different
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situations frequently require different team compositions, communication structures, or varying degrees of centralization and decentralization. The project aims to enable adaptive coordination, especially in