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Field
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dedicated, ambitious and supportive research team in state-of-the-art facilities and will experience the benefits of a structured PhD training program that provides doctoral students with interdisciplinary
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and weekends (e.g. between Christmas and New Year) Further development of your personal strengths, e.g. through an extensive range of training courses; a structured program of continuing education and
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hydrogen release by means of pressure control - Carrying out parameter studies - Comparison of different catalyst materials - Determination of the pressure dependence of the dynamic hydrogen release
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hydrogen carrier (LOHC) perhydrobenzyltoluene. Your task will include: Planning and commissioning of a test rig for the dyhydrogenation of loaded LOHC Targeted deactivation of the catalyst materials under
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opportunity to establish a cutting-edge research program with significant impacts in this field. We are particularly interested in candidates who can develop an innovative research agenda in areas such as
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: university degree in chemistry or physics and profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills in high-performance computing, materials
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profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills in high-performance computing, materials chemistry, theoretical chemistry, molecular
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voluntary online elements Programme duration 8 semesters Beginning Other Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description
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Max Planck Institute for the Physics of Complex Systems • | Dresden, Sachsen | Germany | about 3 hours ago
Dresden/Germany Leibniz Institute for Solid State and Materials Research, Dresden/Germany Institute of Organic Chemistry and Biochemistry, Prague/CZ University of Chemistry and Technology, Prague/CZ Charles
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geoinformatics in addition to scientific computing. By using the tools of informatics in this subject, anyone can study or model objects, structures, regulatory networks, or processes (signals, materials and