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international training environment. PhD students will work with leading scientists in the field and benefit from their complementary expertise in theory and experiments involving the various messengers
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machine learning approaches. These are similar to earlier work on charge and excitation energy transfer (see https://constructor.university/comp_phys). The project for the PhD fellowship is slightly more
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scientists at six institutions in the Ruhr area covering experimental chemistry, theory and chemical engineering investigate how solvents are involved in the control, mediation and regulation of chemical
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analysis of social change; it is primarily in this domain that its researchers contribute to anthropological theory, though many programmes also have applied significance and political topicality. The DFG
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environment at the interface of physics and biology. Our goal is to understand biological function and the role of condensates in disease by applying physical principles such as phase transitions and collective
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,Y,La ),(Al,Ga,In)]N. Ferroelectric electro-optical switches shall be developed. The work will be in close collaboration with the PhD student working on fundamental solid-state theory of the same
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substrates while advancing our understanding of deep learning through dynamical systems theory. You will work with two cutting-edge experimental systems: (1) light-controlled active particle ensembles
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industry. The center offers an excellent working environment with access to state-of-the-art technologies and an outstanding high-performance computing infrastructure. For TUD diversity is an essential
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a doctorate. We are looking for: candidates with a Master’s degree in mathematics or a closely related field and with a strong background in probability theory. Prior knowledge in spatial stochastic
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, you will develop highly accurate computational tools for predicting satellite features in XPS spectra of 2D framework materials. Your work will be based on the GW approximation within Green’s function