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you have: Completed university studies (masters degree) and a doctoral degree in computer science, applied mathematics, computational science (physics, math, chemistry,..) and engineering or a related
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the complete chain from materials properties to process design and evaluation. More information on the project can be found here: This specific project (DC7) addresses membrane adsorbers, which have small
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-economically cost-optimal design of a process chain for the production of green hydrogen and methanol, it is necessary to carefully analyze both global and regional demand and to estimate their future
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implementation of web services for the use and analysis of large geodata sets (big data analytics). This will involve the use of advanced AI technologies. Your Profile: Masters degree in Computer Science, Physics
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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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science, physics or a comparable field of study Background knowledge and proven interest in the field of electrochemistry Fluent in spoken and written German as well as English Willingness to get familiar
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: Scientific and/or technical background (physics / electrical engineering etc.) Good grades in the current Master`s programme Good knowledge of English and German High degree of independence and effective way
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membrane electrode assemblies (MEAs) for electrochemical characterization Physical, spectroscopic, and electrochemical characterization of MEAs prior to, during, and after operation Participation in project
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well as in fuel cells. Your tasks in detail: Manufacturing of catalyst layers and membrane electrode assemblies (MEAs) for electrochemical characterization Physical, spectroscopic, and electrochemical
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and project meetings as part of your work Opportunity to gather industry-relevant knowledge about the complete manufacturing process of batteries as part of their scientific work - from the synthesis