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Field
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will be combined with theoretical modelling, statistical data analysis, and numerical simulations to identify the governing mechanisms and to determine whether and how proximity to a phase transition
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branches (Soft Materials Modelling, Computational Chemistry, Inorganic Materials Modelling, and Data-driven Atomistic Simulation). The fixed term contract is initially for 2 years and during the first 6
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multiscale characterization of materials for soft robotics applications and has application in all three endoscopic areas. The goal of the PhD is to computationally design using a simulation-guided approach
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more reliable designs. The student will use advanced numerical simulations at KU Leuven to model the impact of large waves on OFPV structures, capturing key processes such as wave breaking, overtopping
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combine laboratory experiments, numerical simulations, artificial intelligence and field observations to address outstanding questions in physical oceanography, atmospheric sciences, physical limnology
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planning. Physically based hydrodynamic models, provide accurate simulations but are computationally expensive and difficult to apply nationally in real time. Satellite-based approaches, particularly using
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on RFSoCs or software-defined radios. ▪ Conducting real-world experiments to investigate deviations between theoretical models, software simulations, channel emulations, and hardware implementations
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experimental work; • Strong interest in modeling/simulation, particularly multiphysics modeling, and data analysis; • Autonomy, scientific curiosity, and the ability to work in a multidisciplinary environment
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looking for a PhD candidate to join the Research and Technical Development (RTD) Group on Solid and Fluid Simulation for Industrial Processes. The position is framed within the MCIU national project DT-FSW
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Particle Fluid Dynamic (CPFD) model development. The person appointed will be affiliated with the Research Group in Energy and Environmental Technology (URGENT). Duties Complete the doctoral programme up