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Master’s degree (or equivalent) in a relevant discipline Number of Scholarships 2 Duration 4 years Scholarship Value Scholarships include: 1,400 EUR per month A country-dependent travel allowance Combined
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Your Job: Chromatography modeling, while crucial for modern bipporcess development, still heavily relies on empirical determination of key model parameters. By combining protein structure
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Association. At the Leibniz Institute on Aging – Fritz Lipmann Institute (FLI), we investigate the fundamental biological processes that drive aging. Our research combines molecular, cellular, and systems-level
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Your Job: This PhD project develops a Bayesian inference framework for hybrid model- and data-driven modeling of metabolism, with a particular focus on handling model misspecification. By combining
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heavily relies on empirical determination of key model parameters. By combining protein structure descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange
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geometries. Current simulation-based approaches require complex 3D meshes and are often too slow for practical medical use. This project aims to create accurate and rapid surrogate models by combining physics
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literature review on modern techniques for combining models with observational data, with a focus on innovative parameter-testing and hybrid modelling approaches. Gain a solid understanding of land-surface
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for practical medical use. This project aims to create accurate and rapid surrogate models by combining physics-aware learning methods with domain decomposition techniques, enabling parallel training and
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-source software, scientific publications, and a PhD thesis. Your tasks within framework in detail: Conduct a literature review on modern techniques for combining models with observational data, with a
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our research both in front of and behind the scenes. What you will do Our applied research focuses on the following topics: Through our close cooperation, we combine basic research, application-oriented