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of the experimental data Presentation of the obtained scientific results on conferences and in publications Requirements Master’s degree in physics or chemistry, or equivalent Interest in materials science Good written
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of the experimental data Presentation of the obtained scientific results on conferences and in publications Requirements Master’s degree in physics or chemistry, or equivalent Interest in materials science Good written
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of outcomes by November 2024. Scholarship Details Maximum number awarded 1 Eligible courses All applicable HDR courses. Eligibility criteria Outstanding Computer Science or Engineering student Knowledge of data
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learning models of quantum chemistry can achieve fast and accurate predictions, but comprehensive data sets for reaction barriers of large molecules simply do not exist. Several recent works have attempted
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complex operational environments. Focus will be given to methods that can derive useful engineering information for the continuously updated digital twins using mechanical response data and environmental
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://www.kmk.org/zab/central-office-for-foreign-education.html For further information or to discuss the position please contact Prof. Dr. Georg Feulner .
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this to data from X-ray satellites and attempt to constrain misalignment directly. The student will also have the opportunity to explore new GR-RMHD simulations which are being carried out by Prof Middleton’s
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Administration, Entrepreneurship section, at Umeå School of Business, Economics and Statistics with Prof. Norbert Steigenberger as your main supervisor. With this PhD project, funded by Lundbergs Foundation, we
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Smartlife, leveraging model and data-driven digital twins for smart asset management and lifetime optimization of offshore windfarms. For this function, our Brussels Humanities, Sciences & Engineering Campus
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or find out more? If you want to apply straight away, click the application button. If you would like more information about what the job entails, please contact prof dr Marieke Liem at m.c.a.liem