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regenerate the single cathode materials from black mass with high electrochemical performance. Eligibility: Applicants must be Australian citizens, permanent residents of Australia, or international students
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outstanding key performance indicators. Your tasks in detail: Contribute to develop an innovative process for the autothermal dehydrogenation of LOHC using fundamental knowledge of chemical engineering
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of code to utilize GPU-acceleration on DTU’s high-performance computing cluster or other HPC systems. You will also analyze realistic physical implementations of the architectures you explore, with a
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to create a steady flow of 1000 Bar low voidage emulsion (particle voidage greater than 40%). Alternatives include a high-pressure pump or batch filling and depressurising into a buffer / separation vessel
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to create a steady flow of 1000 Bar low voidage emulsion (particle voidage greater than 40%). Alternatives include a high-pressure pump or batch filling and depressurising into a buffer / separation vessel
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skills Ability to work in a team German language skills are desirable (communication with local stakeholders) Driving license category B desirable (access to field sites) Your tasks You will conduct
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of structure-performance relationships of different catalyst and membrane surfaces Development and validation of various test stand modifications Coordination with internal and external project partners from
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Supervisory Team: Dr. Isha Gupta PhD Supervisor: Isha Gupta Project description: We invite applications for a Ph.D. position focusing on high-performance aerospace materials. As the aerospace sector
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Research Center (CRC) “Data-driven agile planning for responsible mobility” (AgiMo), funded by the German Research Foundation (DFG). This interdisciplinary center, involving four universities and the German
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by the team working on these systems. You will perform measurements of AI algorithms to fill in the unknowns uncovered in such a data flow diagram. The energy scalability of the core algorithms of a