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of the position is method development. We are seeking a postdoctoral researcher to develop next-generation AI models of cellular dynamics, with a focus on scalable neural network architectures that represent
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formulations. All this research requires advanced characterization methods to study interaction, structure and beahaviour. The research group has well-established collaboration with the large-scale facilities
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on development of novel computational methods with state-of-the-art machine learning for gaining fundamental insights into healthy and diseased human tissues of the heart, cardiovascular system, and
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develop the data-driven foresight methods to find out. About us At the Division of Physical Resource Theory, we study how societies can transition towards sustainability. Building on physics and systems
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implementation science, physical activity, or exercise interventions; experience in quantitative and/or mixed-methods research. Experience in exercise training research, clinical populations, or behavior change
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functional genomic methods to study epigenetics and transcription such as ChIP and RIP-seq you are self-motivated, persistent and collaborative with an analytical mind and capacity to structure more than one
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, cargo-bikes, and attitudes toward emerging technologies such as shared autonomous vehicles. This project addresses that gap through a mixed-method study combining survey data with in-depth interviews
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architectural styles, architecture evaluation methods, and governance models, requiring new approaches for modularity, decoupling, versioning, deployment, and lifecycle management. At the same time, the project
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at high resolution and the network science methods to study the resulting multilayer structure. This project will, for the first time, build a computational framework that maps coexistence routes across all
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to convert biomass into valuable products. We use advanced computational technologies to discover how biomolecules and organisms function and interact. We pioneer new methods for prediction, prevention