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of soft- and hardware infrastructure Close collaboration with automation experts, data and material scientists to improve and use a fast and reliable electrochemical testing process Your Profile: Master
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, electrical engineering, chemistry or related fields Know-How in the physics of semiconductors and ideally in spectroscopy of semiconductors Very good grades in bachelor and master courses Very good spoken and
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: Very good performance in your Master`s degree in the fields of energy technology, mechanical engineering, materials science, civil engineering, industrial engineering, physics, resource management
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found using the classical algorithms (from 1) with Quantum Optimization Ansatz (from 3) Your Profile: Enrolled as master student in a university Good background in physics, electrical engineering
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Your Job: In order to optimize the system efficiency of solid oxide electrolysers and fuel cells, the aim is to reduce the operating temperature below 600 °C. This requires the use of new solid
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research data management activities, semantic and infrastructural engineering in the field of Material Science, e.g. within NFDI-MatWerk Dissemination of developed tools and concepts within interest groups
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building models Your Profile: Master studies in the field of of mechanical engineering, industrial engineering, process engineering, informatics and mathematics or similar Good knowledge of a programming
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of the Modelica building models Your Profile: Master studies in the field of of mechanical engineering, industrial engineering, process engineering, informatics and mathematics or similar Good knowledge of a
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testing of the catalysts’ OER performance and durability Your Profile: Undergraduate education with excellent marks in Material Science, Physics, Engineering or Chemistry Basic knowledge of electrochemistry
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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