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intestinal homeostasis and disease. These studies involve state-of-the-art culture techniques for intestinal organoids derived from mice and human patients as well as in vivo mouse models. As part of this PhD
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
produced by PBF-LB. After identification of the most relevant parameters adopting a design of experiments strategy, a probabilistic (e.g. Gaussian Process Regression) model to describe the relationship
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very flexible use and extension. In particular, the work covers developing an appropriate model to represent the main possible processes at the surface in close cooperation with the SOLgroup
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and their interactions with the immune system, while also investigating new compounds with potential therapeutic effects. The department VIRI studies viral infections in animal models and in models
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electron microscopy design and implement deep learning models to enhance resolution of large field-of-view imaging techniques integrate imaging data across modalities for improved spatial resolution and
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communication and sensor systems. Design, model, and experimentally characterize sustainable antennas and wireless system components for Internet of Things (IoT) and industrial applications. Explore approaches
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are offering four PhD positions in the Simulation and Data Lab Digital Bioeconomy (SDL-DBE). The SDL-DBE develops and applies multiscale models, AI-enhanced simulations, and computational workflows across IBG
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Max Planck Institute for Evolutionary Anthropology, Leipzig | Leipzig, Sachsen | Germany | 16 days ago
been argued to be a key process in human causal cognition. Little is known about whether other animals engage in similar mental simulations involving physical models and counterfactual outcomes. In
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
nano-structures. In this project, we will combine numerical models, experiments, and artificial intelligence (AI) to guide the design of specific DNA nanoconstructs. The primary goal is to build an AI
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analysis framework that supports flood-resilient urban design by combining multi-sensor Earth observation (EO) data, hydrological–hydrodynamic models, urban digital twins, and advanced AI methodologies