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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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the small-scale effects on the material behavior of PNSEs, only molecular simulations can provide a systematic method to understand the relationship between the structure and function of the complex systems
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Lab at OsloMet and will be carried out in collaboration between structural engineering and data-oriented research environments. The work includes structuring and analyzing multi-source bridge-condition
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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
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modules, reasoning over structured graphs or rules, act as a factual verifier. The PhD fellow will perform the following tasks: Framework Design & Implementation, Reasoning Algorithms Development, and
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understand new problems, concepts, and theories Ability to communicate academic content in a structured and professional manner Emphasis will be placed on personal suitability. It is important to OsloMet