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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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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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://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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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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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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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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company ticket for public transport or the Deutschlandticket (Germany ticket) More information on about the IGZ you can find under www.igzev.de . For questions, please contact: Prof. Dr. Franziska S