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highly motivated candidate to develop models integrating machine learning and domain-specific knowledge to predict failure arising from hydrogen embrittlement. You will carry out materials testing
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integrating machine learning and domain-specific knowledge to predict failure arising from hydrogen embrittlement. You will carry out materials testing, computational model development, data processing, and
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Description Within the IQST Graduate School framework, the hot atomic vapor spectroscopy group at the 5th Institute of Physics is currently seeking a PhD student. This PhD program is in close
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on investigating the change in the catalysts surface under relevant process conditions using spectroscopic analysis methods. Your task will include: Application of established and novel methods for the preparation
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consisting of PAT and mechanistic / data driven modelling allowing process control. Steps to be taken will be: Developing a process applicable PAT method (single / multisensoric) for AAV / LNP / VLP detection
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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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electrochemical devices, by employing advanced experimental and theoretical methods in an interdisciplinary approach bridging synthetic chemistry, condensed-matter physics, and materials science. Our research
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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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/ double degree programme No Description/content The International Max Planck Research School links the Max Planck Institute of Microstructure Physics with the Martin Luther University Halle-Wittenberg and
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of Chemistry, Physics and Materials Science and Engineering. All departments offer high quality study programs and the RTG will provide an excellent complement to other graduate training programs at Saarland