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Field
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investigating degradation mechanisms within the framework of green energy conversion and climate change. The open position aims to understand catalyst stability at the nanoscale during electrochemical processes
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offering PhD positions for students with a background in data science, computer science, computational science, or a domain science with a strong focus on computational science, and an interest in training
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available in the further tabs (e.g. “Application requirements”). Programme Description Early-career scientists from all countries of origin and any subject carrying out further research work into the field
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harsh process conditions Investigation of the underlying deactivation mechanisms Development of regeneration strategies for deactivated catalysts Coordination with internal and external project partners
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to research into the mechanisms and treatment of multiple sclerosis (MS) and related diseases. Our institute combines reseach at the biomedical center (BMC) with taking care for patients at the Klinikum
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degree in the fields of geosciences, resource management, energy technology, mechanical engineering, industrial engineering, physics, or comparable Basic knowledge in hydrology, resource management, energy
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of new materials for catalysis, polymer electrolytes, and polymer electrolyte membranes. Your main responsibilities include: Synthesizing and analyzing proton-conducting solid electrolyte polymers
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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part-time, with 65% of the regular weekly working hours (currently 25.35 hours) and should be used for a doctorate. Participation in the accompanying doctoral programme is compulsory. This serves
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)physics, statistical mechanics, scientific computing and also a keen interest in interdisciplinary research and collaboration with experimental groups. You hold (or expect to complete soon) a Masters or