166 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Multiple" "U.S" positions at Forschungszentrum Jülich
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the comprehensive training programme of the graduate school HDS-LEE https://www.hds-lee.de/ A structured doctoral degree programme via our doctoral researchers’ platform JuDocs https://www.fz-juelich.de/judocs
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multiple technological platforms - photonics, electronics, biological neurons. Responsibilities and tasks This PhD project aims to optimize the design of hybrid electrical–optical computing architectures
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energy system models based on the institute`s own open-source FINE framework https://github.com/FZJ-IEK3-VSA/FINE. Your tasks in detail: Implementing geothermal plants with material co-production in
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with chemists, engineers, and data scientists will enable the creation of a robust, high-throughput framework for future catalyst and layer development and efficient optimisation. The following topics
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controlled conditions and integrate chip systems with AI-assisted live-cell microscopy for autonomous feedback imaging and data analysis. Contribute to trainings, technology transfer and perform lab rotations
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subsequent PhD in computer science, engineering, biophysics, applied mathematics, computational biology or a related field Proven programming expertise in Python (PyTorch, scientific Python) with solid
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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 FLEXIBILITY: Flexible working time
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Your Job: The electrocatalytic interface engineering department led by Prof. Dr.-Ing. Simon Thiele focuses on synthesis, manufacturing, analysis and simulation of functional materials to find
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presentations and in writing Self-motivated and well-structured working style Strong cooperation and teamwork skills in an international, interdisciplinary environment Our Offer: We work on pressing scientific
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, and training methods - across multiple technological platforms - photonics, electronics, biological neurons. Responsibilities and tasks This PhD project aims to develop, verify, and benchmark learning