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Your Job: You will be part of the top-class scientific department "Chemical Hydrogen Storage" at the renowned HI ERN. Under the direction of Prof. Dr. Peter Wasserscheid, our department researches
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Your Job: You will be part of the top-class scientific department "Chemical Hydrogen Storage" at the renowned HI ERN. Under the direction of Prof. Dr. Peter Wasserscheid and Dr.-Ing. Michael
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of the interfaces between monitoring devices and additional software tools Data-driven modelling of energy systems components for real-time and hardware in the loop (HiL) Development of advanced estimation algorithms
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the standardization and harmonization of data across platforms. Work with large language models (LLM) and deep learning algorithms to drive the inverse design of materials and uncover new physical and chemical
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H2 profiles in collaboration with our modeling department Your Profile: MSc in meteorology, physics, chemistry, environmental sciences or a related field with good final grade (German system equivalent
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Engineering or Chemistry, Physics or Informatics Experience with experimental work and characterization techniques Demonstrated experience in programming, particularly in Python, with a robust understanding of
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Your Job: Synthesis and characterization of ceramic uranium oxide-based nuclear fuel materials and model systems comparable to commercial grades Application of microstructural and chemical analysis
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in physics, physical chemistry, chemical engineering, or related field Knowledge and competences in physical theory and modelling Experience and interest in computer programming Basic knowledge
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Process Engineering, Chemical Engineering, Mechanical Engineering or a similar discipline Strong interest in pursuing research on electrochemical systems Experience in one (or more) of the following areas
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, chemistry, material science, chemical engineering or related disciplines Experience in the field of energy storage Knowledge of X-ray methods Experience with programming languages (ideally Python) Fluent in