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material models, the development of Digital Twins, and the use of AI-based methods. This includes building model-ready databases, developing simulation chains that link process simulations with analysis
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) following the advice at how to apply for a research degree . In your EOI, nominate Prof Amina Tariq as your proposed principal supervisor, and copy the link to this scholarship website into question 2
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physical effects. The research activity will also involve the study, simulation, development, and experimental validation of signal-processing techniques and electronic circuits, with particular attention
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certificate no later than the date of the first test of the selection process, if applicable; g) Copy of the employment record book and/or a certificate attesting to the seniority in work/on projects, in
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the selection process, if applicable; g) Copy of the employment record book and/or a certificate attesting to the seniority in work/on projects, in the profession and/or in the specialty of studies. Each document
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position Long term management of large scale computing infrastructures requires
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2 PhD Positions in Computational Modelling of Biological Membranes and Adaptive Functional Materials
simulations and explore large parameter spaces. The project is particularly suited for candidates interested in statistical physics, computational physics, stochastic processes and theoretical condensed matter
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PhD candidate for the project "Modulation of inflammatory Dendritic cell subsets in atherosclerosis"
/working-at/job-application-procedure-and-employment-conditions . All our PhD students are embedded in the Leiden University Graduate School of Science. Our graduate school offers several PhD training
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to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and
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while maintaining computational efficiency through lower-fidelity simulation of non-critical regions, (ii) virtual sensing techniques for load and stress estimation from limited and optimally placed