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up simulation model for networks of complex neurons with topologies close to neuroscience models Analyze dynamical states of spiking complex neuron networks with respect to network topology and neuron
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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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friendly mode of transportation, but noise and vibration remain a major environmental challenge for the railway sector. Therefore, a wide range of numerical models have been developed for the prediction
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. You are driven by scientific curiosity, enjoy working with complex multi-physics models, and are eager to advance probabilistic methods, machine learning tools, and simulation techniques. If you thrive
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/conditioning, 2D/3D models, implantation into the chorioallantoic membrane (CAM) model, and phenotypic/molecular analyses to study tumor heterogeneity, EMT-related traits, and drug response. The successful
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
for predictive modelling and state estimation for fundamental applications within physical sciences. Your role The main research responsibilities involve building cutting edge machine learning techniques
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activities, including AI model development, simulation-based studies, and multi-disciplinary collaboration across radiology, engineering, and other clinical disciplines. The Assistant Professor may be required
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machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) Familiarity with multi-domain simulation tools (e.g., Matlab, Simulink, Octave) and modeling techniques Experience with AI, ML methods of time
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simulation plays an essential role for the aerospace industry, enabling cost-effective design and optimization of GT systems. However, several challenges remain, particularly in achieving both accurate and
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that bridge quantitative modeling and qualitative approaches. Postdoctoral researcher in peri-urban energy planning and sufficiency Your tasks Develop and apply optimization and simulation models to assess