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the dynamics of structures, material mechanics related to climate change, modeling and design of railway systems, multiscale modeling of road materials and structures, material reuse, construction and component
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pressure to reach the net-zero Greenhouse Gas target set for 2050 on international shipping to alleviate the climate crisis. A strong collaboration between industry, research institutes, and universities is
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communications: RF engineering/software-defined radios Signal processing and radar Mathematical modeling and optimization Machine learning General Requirements: Proven track-record demonstrated by high quality
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refining novel models and methods. As a PhD candidate in Infrastructure Use, you will play an important role in exploring the operational dimensions of port infrastructure through the lens of data
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refining novel models and methods. As a PhD candidate in Infrastructure State, you will play an important role in exploring the strategic dimensions of port infrastructure through the lens of data
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work together with Prof Ramírez and three Ph.D. students to further develop a bottom-up model that allows assessing the system impacts of using alternative sources of carbon (biomass, CO2, waste) to
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growth and climate change, offering potential solutions to mitigate future challenges (~4D stress maps/climate resilience mapping) If you are passionate about geoscience, hydrogeology, predictive modelling
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conditions. The acquired data will then be used to validate own-developed numerical and physical models for sedimentation, so that a solid calculated estimate can be made in real cases and real situations
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develop high-resolution simulations to investigate numerically the interaction of model fibers with the complex geometry of mesh-based filters. The simulations will initially focus on single fibers
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sciences. It hosts energy system experts, industry (decarbonisation), mobility (passenger as well as freight) and ICT experts (cyber, distributed systems, IT architectures), as well as choice modelling and