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for magnetic particle transport in fluid flows and validating the results through a laboratory-scale reactor. It combines numerical modeling, AI methods, and hands-on experimental work in the context of advanced
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of secure control systems. DES provide a natural framework to model the logical and event-driven dynamics of systems such as production systems, supply chains, and transportation networks. The goal
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dynamics subproject, which develops hybrid and data-driven approaches with a strong focus on improving the representation and generalization of ML models for the dynamics of Ecosystem-Atmosphere Carbon and
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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | 18 days ago
to investigate Wnt signaling in different model systems, including Drosophila, Hydra and cultured cells. Technology development will be in the areas of precise and efficient gene tagging, pooled in vitro and in
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, physics and chemistry. Our goal is to combine data-driven modelling, theory, and experiments to accelerate the discovery of materials for future technologies. You will join a multi-cultural and cross
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-informed / simulation-aware modeling Efficient algorithms for design-space exploration (e.g., surrogate modeling, Bayesian optimization, differentiable programming) Hybrid approaches combining data-driven
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₂, and magnetic Weyl semimetals). Work is computationally driven and focuses on linking quantum calculations to reduced, physics-aware spin models so that materials can be ranked and engineered for device
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, infrastructure, environment, materials, and chemistry and process engineering. Join the Cluster of Excellence “BlueMat: Water-Driven Materials ” and contribute to one of Europe’s most exciting research initiatives
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algorithms for microscopy image analysis problems (primarily 2D timelapse data), which are driven by real applications in life science research Developing solutions to integrate large foundation models
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of internationally visible, foundational research in AI-driven semantic structure extraction, automated reasoning-flow modeling, and adaptive content generation. The research focuses on methods for analyzing and