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the SOFA framework to model the larva’s body dynamics. Create a mesh model of the larva with the main organs required for simulation and develop plugins to control muscle and body properties. Modelling
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processes related to carbon cycling in the soil-plant system Experience with Bayesian inference and machine learning is an asset Ability to work independently and cooperatively as part of an interdisciplinary
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, particularly NaTech (Natural Hazard Triggering Technological) events. REUNATECH is a Horizon Europe Marie Skłodowska-Curie Doctoral Network that aims to educate and train the new generation of Doctoral
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also be part of the MBIC Graduate School, which provides additional training and networking opportunities. Predictive processing is increasingly recognized as a key computational principle of brain
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, adversarial attacks, and Bayesian neural networks. Excellent analytical, technical, and problem-solving skills Excellent programming skills in Python and PyTorch including fundamental software engineering