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and accelerate the development of more high-performing PNSEs. The ultimate goal of the project is to develop, implement, and validate novel deep-learning models for molecular dynamics and coarse-grained
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design, manufacture, and validate metamaterial-based protective structures. Key objectives include: Building a computational framework that integrates explicit dynamic simulations, constitutive models
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dynamic environments. The positions have four different research questions: Data-Driven Underwater Manipulation Using Artificial Intelligence Resilient Navigation Systems for Autonomous Aerial Vehicles
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, nonlocal exposure shocks—for example through influencers, recommender systems, or viral posts. Classic opinion-dynamics and culture-diffusion models typically assume short-range, diffusive interaction, while
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predictive control, maritime systems, or modelling and simulation of complex engineering systems. Strong programming skills and a solid foundation in mathematics, and dynamical systems. Personal qualities