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-based reasoning. The goal is to move beyond isolated prediction models towards an integrated agentic system that can model patient trajectories, compare treatment strategies and generate transparent
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Magdeburg, Sachsen Anhalt | Germany | 4 days ago
models to detect, monitor, and predict subtle cognitive impairment and future change Supporting ongoing data collection in local and national research cohorts, including monitoring
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devices, building a software-supported framework to predict and optimize laser-material interactions, energy transfer, and resulting micro-scaled features during drilling and shaping, and modelling of beam
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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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tolerance and predicting fatigue life and device performance. This position aims to understand how inclusions and surface defects affect the fatigue life of Nitinol used in medical devices. The researcher
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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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include: - Extension to radio and optical diagnostics to test different interaction scenarios - Extension to low mass binary interactions at optical wavelengths - Development of empirically motivated models
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modelling, combining ecological theory with modern, reproducible approaches to understand and predict biodiversity change. Based in Potsdam, Germany, immediately southwest of Berlin, the position offers
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to such inhomogeneous fields. Mathematical modelling combining physical and biological aspects offers a tool to tackle this problem. In the project, a predictive model should be enhanced and validated for cellular and
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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