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Vacancies PhD position Sensor based modelling of social and physical activity in high schools Key takeaways In this PhD research, you will specifically focus on the design of machine learning and
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, complex networks, statistics, systems theory, computational science, and artificial intelligence with applications in health care, energy systems, traffic, and imaging. Please click the following links
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-based and experimentally validated model of the AEM cell to provide access to unmeasurable internal cell parameters during operation. To twin the NN surrogate to a HyET E-Trol AEM cell in operation and
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preference for getting appointed at the UT or at the LUMC. Therefore, you can also apply here if you have a preference for working at the LUMC. You will: Perform daily PhD-level research Publish results in
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interfaces and their response to applied voltages and imposed currents. Perform high resolution Atomic Force Microscopy (AFM) experiments and analyze them in collaboration with a theory and molecular