27 structural-engineering-"https:" "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at Forschungszentrum Jülich
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structured training for your tasks. We also support you from the very beginning and make your start easier with our Welcome Days and Welcome Guide: https://go.fzj.de/welcome WORK-LIFE BALANCE: We offer
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entropy or Kullback-Leibler divergence vs. measurement time Analysis and documentation of the results Your Profile: Excellent academic performance in a master’s program in electrical engineering, materials
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evolution reaction (OER), a major bottleneck in current electrolysis processes, and explore stabilization strategies based on protective layers. Study the electronic structure of the hybrid catalysts and
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PostDoc/Senior Scientist - Process and Plant Design in the Field of Liquid Organic Hydrogen Carriers
reactor design and efficient heat integration Collaboration with the department experimental technology testing for the implementation of processes at laboratory, miniplant, pilot, and demonstration scale
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settle into the team and are given structured training for your tasks. We also support you from the very beginning and make your start easier with our Welcome Days and Welcome Guide: https://go.fzj.de
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stabilisation of the Cr4Te5 phase. In addition to phase engineering, the project will examine how stoichiometry, structural quality and defect formation influence the potential ferroelectric functionalities
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Master Thesis in Physics or Materials Science: Remanent phase shifter based on memristive technology
aims to bridge memristive technology and integrated photonic circuits by developing a novel photonic component. The work contributes to an emerging interdisciplinary research field combining electronics
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partnership with our construction department in Jülich. At last, your duties extend to the maintenance of all these devices. Your focus area will be mainly the field of low and ultra-low temperatures, where you
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: Required Qualifications: Very good performance in your Master’s studies in Electrical Engineering, Computer Science, Geoinformatics, Energy Systems, or related field Very good knowledge of Machine Learning
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at the interface of computational systems biology and mathematics/statistics with a strong attitude to open research software development. For more information visit http://www.fz-juelich.de/ibg/ibg-1/modsim