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of hydrological models to reliably forecast extreme hydrological events. However, these data sets must initially undergo interpolation before integration into hydrological models. Current research is developing
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 1 day ago
to the development of methods to investigate, model, and understand brain networks and how they give rise to human behavior and cognition. Current projects are centered around non-invasive brain stimulation
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total of 17 doctoral candidates for project work lasting for 36 months. SPACER aims to develop new architectures for porous electrodes to improve the power density and energy efficiency of redox flow
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university degree (diploma, master's degree) in transport or traffic flow or related study programs. Solid knowledge of at least one programming language, preferably Python, experience in model-based
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on a single cell level. This includes single-cell RNAseq datasets and analysis tools, large high-dimensional flow cytometry phenotyping panels and a collection of transgenic mouse models specifically
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Description Water can move in two interconnected realms: the fast, visible rivers at the surface and the slower, pressure-driven flow within substrates. Today, engineers can model each realm
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tunnel testing and statistical modelling using extreme value theory, the project will yield predictive frameworks for structural risk under rare yet damaging wind conditions. The results will support
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Modelling" (department “Geodesy”), we are looking for a: Reference Number 10727 We offer a position for the research project 'Advancing the understanding of glacial isostatic adjustment in Antarctica' (ANT
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, specifically battery prototypes. What you will do Multiscale modelling to better understand RFB behavior and identify optimal hierarchical shaped pore- and electrode-structure to encounter optimum electrolyte as
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. Hence, you will have substantial freedom to define projects. We focus on methods-driven ML for scientific modeling, currently emphasizing the integration of data-driven and mechanistic approaches