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descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange isotherm parameters directly from molecular properties. These predictions will be integrated
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-semester Master's degree) or a 3rd cycle which usually takes place in two semesters (concert examination, masterclass or PhD in an artistic subject). Funding for a Master's degree programme/a postgraduate
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engineering, biotechnology, computational biophysics, bioinformatics, data science, or a closely related discipline with a strong academic record Genuine interest in data-driven and physics-based modeling
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School of Computer Science , which is responsible for all PhD students in Computer Science at Saarland University and with the PhD Program at the Department of Computer Science of RPTU Kaiserslautern