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resource-efficiency requirements. This collaborative doctoral project brings together the Institute of Advanced Simulation – Materials Data Science and Informatics (IAS-9) and the Institute of Energy
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semiconductor properties to the composition of lead-free double perovskites Your Profile: Master’s degree in theoretical or computational physics, chemistry, materials science, or a similar field Familiarity with
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available in the further tabs (e.g. “Application requirements”). Objective This programme aims to improve the professional and practical qualifications and intercultural skills of programme participants. Who
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and performing laboratory (wind-wave facility) experiments, using state-of-the-art imaging techniques developing computational codes to process and understand large experimental datasets (e. g., image
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center, CRC 1719 ChemPrint “Next-generation printed semiconductors: Atomic-level engineering via molecular surface chemistry”. Your tasks Develop new approaches for electrodeposition of metals
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welcomes applications from individuals with a master’s degree in the following fields: Computer Science Mathematics Natural or engineering sciences or an equivalent degree, interested in High-Performance
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, their achievements and productivity to the success of the whole institution. At the Faculty of Computer Science, Institute of Computer Engineering, the Chair of Compiler Construction offers a project position, subject
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Description The Molecular Nanophotonics Group at the Faculty of Physics and Earth System Sciences at Leipzig University is currently offering a doctoral researcher position under the supervision
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available in the further tabs (e.g. “Application requirements”). Programme Description The Jeff Schell Fellowship can be granted to MSc and PhD students from all fields of natural science and data science
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that demand interdisciplinary solutions? Then the Program for Collaborative Doctoral Projects is the perfect opportunity for you. Many of today’s most pressing problems can only be tackled through