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Helmholtz-Zentrum für Infektionsforschung GmbH | Braunschweig, Niedersachsen | Germany | 22 days ago
climate,environmental, land-use and socio-economic drivers to predict vector distribution, transmission potential andoutbreak risk for pathogens such as West Nile fever,tick-borne infections and Aedes-borne
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predicting pollutant dispersion in complex environments like industrial sites remains difficult due to fluctuating wind conditions and obstacles. This PhD project offers a unique opportunity to develop
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contrôlent et commandent les différents systèmes grâce à un ensemble de capteurs et d'actionneurs répartis dans le véhicule, et échangent des données entre eux grâce à des réseaux de communication. On aboutit
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conditions. However, current global climate models (GCMs) lack the spatial resolution to capture these processes, while high-resolution regional models remain too computationally expensive for large ensemble
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implemented within an ensemble variational data assimilation system, enabling short-term forecasts based on sea ice concentration and thickness data while providing associated uncertainty estimates. In a second
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MD simulations to characterise dynamics in large multimeric drug target systems, and translating these into structural ensembles for large-scale VS campaigns. Developing and benchmarking computational
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traitement avec un minimum d'effets secondaires, en tenant compte des profils métaboliques génotypiques et phénotypiques individuels. L'état du métabolisme cellulaire est évalué par un ensemble de différents
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., feature engineering, spatiotemporal modeling, Bayesian calibration, ensemble methods) to improve prediction accuracy and uncertainty quantification. Disseminate research findings through presentations
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/unsupervised learning (regression, classification, clustering), ensemble methods, and deep learning architectures (CNNs, RNNs). Experience with explainable AI (e.g., SHAP, LIME) and radiomics preferred
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transcript and protein levels. Using machine learning, we will identify conserved expression profiles that predict lifespan outcomes. Guided by these insights, we will use state-of-the-art genome editing in