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in engineering applications. This includes working with hybrid approaches that combine advanced damage models with machine learning-enhanced numerical simulations, and exploring how these approaches
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noise spectra and modeling them in terms of microscopic fluctuator ensembles, and performing numerical calculations or simulations where appropriate. The researcher must be able to work both independently
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, simulation, fabrication, and terahertz characterizations of the resonators. Set up terahertz and optical free-space experiments for the terahertz cavity and antiferromagnetic oxides, including thin films and
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into pangenome variation graphs, and developing flexible and realistic simulations of genomes containing structural variants. You will manage your own research activities, adapting existing methodologies and
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research in computational cardiovascular modelling for patient-specific digital twins, with an initial focus on blood-flow simulation and transcatheter aortic valve replacement (TAVR). The postholder will
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-time, and evidence-accumulation phenomena. Implement simulation, parameter-estimation, and model-comparison methods in Python, MATLAB, R, or related computational environments. Lead and co-author
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position is central to the project in that you are expected to collaborate with project members to develop algorithms and knowledge within AI, through the development of experiments and simulations, and
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sources for LISA. The position is particularly suitable for candidates with a background in one or more of the following areas: stellar and binary evolution; hydrodynamical simulations of stellar
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dynamics simulations and machine learning methods to study the structure and electrochemistry of disordered materials are also encouraged to apply. The project primarily aims to understand the complex
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international collaborators, you will simulate fragmentation processes and model the influence of surface potential on secondary ion yields in the OrbiSIMS instrument. Your insights will help us decode how