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research group “Computational Integrative Biodiversity” (CIB) combines modern computational modeling with biodiversity theory as well as geohistorical and climatological data. We investigate how biodiversity
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combustion of a variety of fuels. LAC is made of black and brown carbon. The latter comprises a plethora of toxic, typically aromatic, compounds. Their modelling has been so far highly simplified and its
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on the creation and application of predictive simulation models Collaboration on the development of data processing and fusion algorithms Collaboration on the virtual modeling of marine structures Conducting and
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adaptive robotic strategies. The work will involve the integration of: Advanced motion planning and control algorithms Multi-modal perception techniques (e.g., vision, tactile, force) Machine learning models
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, computational simulations, probabilistic cognitive modeling, etc.) and empirical research via experiments with human participants. Requirements for employment are a completed PhD degree in a relevant field
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classical topics in numerical analysis, such as the analysis of nonlinear PDEs or the development of new solver- or coupling-methods including their convergence analysis, but also modeling and simulation
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involve the integration of: Advanced motion planning and control algorithms Multi-modal perception techniques (e.g., vision, tactile, force) Machine learning models for physical behavior prediction and
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the formation of planets and planetary systems. His research combines planet formation simulations, the study of dust chemistry, and hydrodynamic modelling of protoplanetary discs to constrain the conditions that
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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | 19 days ago
, and two servers, Saraswati and Lakshmi, each with 8 A100 GPUs. Those clusters are in the process of being extended. They are used to run numerical-relativity simulations of gravitational-wave sources
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. Job description: - first-principle modeling and simulations of electrolytes - development of new machine learning strategies and quantum simulation approaches - application of specially developed