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Field
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a related field, and should demonstrate strong expertise in at least two of the following areas: Large-deformation numerical modeling (e.g., Coupled Eulerian-Lagrangian (CEL), Material Point Method
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numerical methods used to design wind turbines and understand turbulent combustion in jet engines, this research aims to address critical computational challenges in simulating the physical dynamics
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field work in the North Atlantic Ocean, laboratory experiments and numerical modelling. A scientific cruise with our research vessel Pelagia will allow us to investigate CaCO3 – P interactions in
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Postdoctoral researcher (f_m_x) - Waves in the Inner-magnetosphere and their Effects on Radiation...
of the adverse effects of the space environment utilizing satellite observations, physics-based numerical models, machine learning, and data assimilation. Our research will help safely design and operate
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“LAHAR-MM: An integrated approach to LAhar Hazard Assessment and eaRly warning using geophysical Monitoring and numerical Modelling”. This project will investigate the characteristics and flow behaviour
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live in. Your role The CLAIM and ICR groups are seeking an outstanding postdoc to strengthen their research teams with expertise in Large Language Models, more precisely in Agentive Reasoning and LLM
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studies on scaffolds and in vivo testing in disease models; maintaining accurate and organized experimental records; presenting findings at national and international conferences; preparing manuscripts
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field of active tectonics including one or more of the following: seismology, seismotectonics, paleo-seismology, tectonic geodesy, tectonic geomorphology, and numerical/analogue modelling. We are looking
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. Expertise in numerical modeling and simulation for urban systems. Proficiency in digital twin tools and platforms such as AnyLogic, Unity, MATLAB/Simulink, or AWS IoT TwinMaker. Experience in integrating real
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, including hybrid simulations coupling machine learning with numerical methods, multiscale discretization, nonlocal closure modeling, structure preservation, multilevel and multifidelity machine learning