28 parallel-processing-bioinformatics PhD positions at Forschungszentrum Jülich in Germany
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investigating the physical properties of the molecules in the laboratories on the campus of Forschungszentrum Jülich. The investigation of how these characteristics are influenced by processes in the value chain
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of chemical engineering, process engineering, chemistry or a comparable discipline - Knowledge of hydrogen and energy research is an advantage - High motivation to complete the doctorate within three years
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the possible accumulation og by-products over several process cycles. You will also consider the influence of storage-related factors. Your task will include: Construction and commissioning of a test facility
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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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and/or atom probe tomography Experience in image processing Experience in programming with Python or Matlab is strongly desired Team spirit as well as excellent communication and organizational skills
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promising lean alloy system for additive manufacturing, as the mechanical properties can be tailored through phase composition, distribution and morphology by tuning process parameters. The work is carried
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coating process in an uninterrupted flow. This type of coating technology would revolutionize the production of SOEs, as the time requirement would be significantly reduced. This would potentially enable
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of innovative characterization techniques for electrocatalytic reactions Collaboration with data scientists and automation specialists to further develop a reliable, fast, material testing process Your Profile
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: Characterization of catalysts performance and degradation in PEM water electrolysis Mechanistic understanding of catalyst degradation processes, both in PEM and liquid acid environments Further optimization and
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addition to technical models allowing to assess technical scaling and an optimal operation. The optimal plant design is identified by considering the energy supply system, the choice of capture technology, the DAC