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and data-based models for describing complex materials and (re)active molecules with a focus on their interfaces. Development and implementation of new methodologies and algorithms for simulating
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functional simulation platform for Drosophila larva locomotion, which already incorporates muscle and body dynamics models. Your role will be to refine, validate, and expand this simulation framework
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of medicine with engineering, sciences, and the humanities and by drawing on the experience of medical education models both in China and abroad, the School of Medicine is striving to build itself into a base
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: MSc or equivalent in the field of aerospace engineering or similar Solid knowledge of Computer Science and Informatics (simulation, optimisation and modelling tools; surrogate modelling, statistics and
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experience in manufacturing systems modeling, simulation (i.e., DES), and digital twins. • Good knowledge and experience in machine learning, reinforcement learning, and AI-based optimization for production
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benchmarking of clay mineral surface finite models for DFT simulations Speciation simulations of the radionuclides in various environments Your profile Completed university studies (Master/Diploma) in the field
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combining wave modelling, field observations, remote sensing, advanced mathematical methods and AI, the research will quantify spatial patterns of wave set-up, its statistical distributions and co-occurrence
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to weather patterns and extreme events. Despite their importance, critical controlling processes remain poorly understood, underscoring the urgent need to improve Earth system modeling. Significant
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challenging for classical computing architectures. Some of your responsibilities will include: Design and develop mixed-signal circuits for implementing ONNs. Modeling, simulate and benchmark different
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analog circuits for implementing ONNs for computing. Modeling, simulate and benchmark different computing tasks such as sensor data processing. Explore ONN implementation topology and its energy efficiency