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attention to phenomena dependent on strain rate, temperature, thermal history, and microstructure; elasto-viscoplastic and micromechanical constitutive modeling, developed in academic and/or industrial
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physical-mathematical models expressed in terms of differential equations will be considered. In particular, the candidate will develop methods at the interface between statistics and numerical analysis, and
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. Meeting the project deliverables within the project timeframe, which consists of the following responsibilities: Explore different numerical models that can capture droplets physical behavior under both
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kinetic models and their hydrodynamic limits. Dispersive phenomena in kinetic theory. Quantum gases. Applicants must hold a PhD degree in mathematics, physics or a related field. We seek candidates with
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structures, access to space, multidisciplinary design and concurrent engineering, uncertainty treatment and optimisation, machine learning. (https://www.strath.ac.uk/ ) Task description for your Individual
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Job Description We are seeking a visionary researcher to lead the development of transformative global water and infrastructure datasets that underpin AI and process-based hydrologic models. You
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. Recent progress in text-to-image generation, fueled by diffusion models and large-scale training, has greatly improved image synthesis aligned with textual prompts. This project, however, focuses on a
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postdoctoral researchers interested in exploring the origins of human behavioral diversity, developing empirically-informed models of human behavior, and designing innovative institutions and policies
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. Project description This PhD project focuses on advancing the scientific computing foundations of quantum spin dynamics by developing efficient numerical algorithms for modeling complex, open quantum
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, engineering, computational science or relevant field(s). Experience in developing numerical code, preferably fortran, is required. Preference will be given to candidates with experience in modeling edge and