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): https://go.fzj.de/JuDocs SUCCESSFUL START: It is important to us that you quickly settle into the team and are given structured training for your tasks. We also support you from the very beginning and
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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: PHD Thesis Job description: Your Job: Digital methods for inverse materials design are essential
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to improve the use of artificial intelligence. This involves continuously optimizing the basic hardware components and refining the methods used to develop them. The design flow of these circuits and (sub
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to apply E-mail karriere@fz-juelich.de Website https://www.fz-juelich.de/en/careers/jobs/2026D-006 Requirements Additional Information Website for additional job details https://www.fz-juelich.de/en/careers
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staff position within a Research Infrastructure? No Offer Description Work group: Institute of Materials and Process Design Area of research: PHD Thesis Part-Time Suitability: The position is suitable
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Job related to staff position within a Research Infrastructure? No Offer Description PhD position on physics-based machine learning modeling for materials and process design Reference code: 2026/WD 1
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to improve the use of artificial intelligence. This involves continuously optimizing the basic hardware components and refining the methods used to develop them. The design flow of these circuits and (sub
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communication and sensor systems. Design, model, and experimentally characterize sustainable antennas and wireless system components for Internet of Things (IoT) and industrial applications. Explore approaches
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project, you will help design, simulate, and optimize these next-generation communities — making clean, local, and intelligent energy systems a practical reality. Your key responsibilities include
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Your Job: Digital methods for inverse materials design are essential to efficiently create new, sustainable and recycling-adapted structural metals. Alloys with a reduced number of elements, so