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Proficiency in at least one programming language (Python, C++, …) Keen interest in neuroscience is essential Experience with modelling, analysis of complex dynamical systems, simulation, analysis of large-scale
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INDB together will recruit one PhD student focussing on the development and application of a vascularised brain-on-chip with integrated sensors. A physiological model of vascularised brain tissue would
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Helmholtz-Zentrum für Infektionsforschung GmbH | Braunschweig, Niedersachsen | Germany | 28 days ago
exchange, trainingand openprediction challenges, translating modelling insights into actionable recommendations for Germany’spublic health resilience. Tasks include: Generation and running of dynamic models
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the dynamical and statistical characteristics of the numerical model data. The candidate shall explore whether the above data assimilation can be done in one step for full 3D fields, or if it is advantageous
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position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
ongoing research efforts in the development of statistical 3D models of Horses. About us We are creating the world’s most realistic human and animal avatars for use in research, film, virtual reality
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learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement tasks to work with, enhance
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dynamics subproject, which develops hybrid and data-driven approaches with a strong focus on improving the representation and generalization of ML models for the dynamics of Ecosystem-Atmosphere Carbon and
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rules in networks of complex spiking neuron models in the application field of geolocalization: Building up simulation model for networks of complex neurons with topologies close to neuroscience models
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alloys. The project is a 3-years funded DFG position. Central to this project is the usage of coherent synchrotron scattering to track transport and structural dynamics in metallic glass. The objective is