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. To analyze and control thermoacoustic instabilities, we combine fluid mechanics, acoustics, and combustion with methods from control engineering, nonlinear dynamics, and data-driven modeling (machine learning
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that compromise cellular viability. Proteostatic decline is not merely a consequence of aging but an early, causal event whereby loss of proteostasis precedes and predicts organismal decline, and its onset is
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, interactomics, structural biology, and imaging datasets into predictive computational frameworks. Application of atomistic simulations, coarse-grained modeling, RNA folding prediction, RNA-protein and RNA-small
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Albert-Ludwigs Universität Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 22 days ago
2026 Where to apply Website https://uni-freiburg.de/stellenangebot/00005130/ Requirements Research FieldEngineering » Mechanical engineeringEducation LevelMaster Degree or equivalent Skills
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candidate (m/f/d) for the “Development of a digi-tal twin and model predictive control for filtration processes”. Project Join a research initiative in the field of Industry 4.0 and cyber-physical systems
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an important contribution to global marine and environmental research. In the Department of Ocean Biosphere Dynamics, we are looking to fill a position as Scientific Programmer (m/f/d) Biogeochemical Model
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high standards of software quality, reproducibility, version control, and documentation, supporting the transition of research developments into the operational model framework. The role involves close
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optimization in controlled environment crop production, the research group ‘CEA-Controlled Environment Horticultural Systems’, we look for an enthusiastic and ambitious Scientist (f,m,d) in the area Resource
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the relationship between whole-tree water use and wood cell formation in trees, using advanced growth models to predict the future of wood formation and carbon allocation in forests facing drier conditions. Within
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05.07.2026, Academic staff Our research combines mathematical modeling, numerical simulation, scientific computing, and data-driven methodologies to improve the predictive capabilities and