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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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stimulating multidisciplinary research environment focused on regulatory mechanisms that enable cells to retain their identity.We employ Drosophila and human cell culture models, genomics, genetics and
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cutting-edge methods, models and technologies in environmental science, quaternary sciences, bedrock geology, paleontology, physical geography, biodiversity and ecosystem science, remote sensing, Geographic
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in use are model organisms such as Arabidopsis thaliana, Physcomitrella, tobacco and yeast, and crops such as rapeseed, basket willow (Salix), potato, barley, rye, wheat and cassava. The department is
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; the regulation of gene expression; population genetics, genome analysis and the development of breeding systems. Species in use are model organisms such as Arabidopsis thaliana, Physcomitrella, tobacco and yeast
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description Work on EU projects to develop next‑generation transport, emission and health forecasting models by integrating deep learning, xAI, and diverse data sources such as traffic sensors, smart‑card data
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. Beyond Discrete Mathematics, the Department of Mathematics and Mathematical Statistics carries out research in computational mathematics, financial mathematics, mathematical modeling, analysis, machine
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chain, ranging from synthesis, cell assembly, characterization, modeling to scaled-up manufacturing. The 2-year postdoctoral project Machine Learning-based Electro-Chemo-Mechanical Estimation and Control
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methods that combine soundscape targets, acoustic metamaterials, physical modelling, inverse design, machine learning and perceptual evaluation. The postdoc will develop models and design methods
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to use data and modelling to make historic buildings energy efficient – without compromising their cultural value? Join the research project DASHER at KTH. DASHER (Data-driven Structured Historic Energy