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interdisciplinary research team. We study tumor evolution and immune microenvironment adaptation by combining functional genomics, experimental model systems, patient samples, and computational biology (Brägelmann et
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ultracold gases or condensed matter systems. Experience with numerical simulations is expected, along with a high level of motivation and a genuine interest in fundamental research. About You To be suitable
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) offer new avenues to tackle this problem. AI models have demonstrated strong potential in clinically relevant insights from electrical signals such as ECGs, and from cardiac imaging modalities including
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organoids, single cell multiomics, live cell imaging, and animal models. Tasks: to actively pursue the PhD project with the aim of characterizing the molecular and functional mechanisms of epithelial
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after damage. The applied techniques will include e.g. mouse and human kidney organoids, single cell analyses, proteomics, metabolomics, live cell imaging, and animal models. Tasks: to actively pursue
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? Generative AI and large-language models (LLMs) are about to turn computer-aided engineering into true human–AI co-design. In the new MSCA Doctoral Network GenAIDE we team up with Honda Research Institute
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cyclic loading, varied surface conditions, and exposure to gaseous impurities, and advanced numerical modelling (Finite Element Analysis), this project aims to significantly enhance our understanding
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the development and activity of human beige adipose tissue. We will use a human beige adipose tissue organoid model recently developed by the team from cells derived from the vascular stromal fraction of human
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environment featuring a wide range of research activities, including QM/MM simulations, ionic liquid simulations, and excited-state characterization. The aim of this PhD thesis is the atomistic modeling
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large-language models (LLMs) are about to turn computer-aided engineering into true human–AI co-design. In the new MSCA Doctoral Network GenAIDE we team up with Honda Research Institute Europe, Altair