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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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on futuristic technologies in the field of machine learning and computer vision. Hence, we investigate and develop an innovative computation-in-memory (CIM) solution for artificial intelligence accelerator design
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Approach ( https://vhrz669.hrz.uni-marburg.de/ssf/ ). Understanding the mechanisms controlling subsurface flow (SSF) and the conditions under which it occurs remains a major challenge in hydrology and
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large-scale spiking neural networks. In close collaboration with our Mod4Comp partners (DFG Forschergruppe FOR 5880), you will develop models of performance and energy to guide the co-design of software
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staff position within a Research Infrastructure? No Offer Description Work group: Design of the oxygen evolution mechanism Area of research: PHD Thesis Job description: Reference No. CE 2026/1 The Young
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date: July 2026 👉 Apply here: https://grk2516.uni-mainz.de/call-for-applications-form-2026/ Where to apply Website https://grk2516.uni-mainz.de/call-for-applications-form-2026/ Requirements Research
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Your Job: Possible doctoral research topics: Designing processes and plants for the synthesis and use of chemical hydrogen storage Integration of chemical hydrogen storage systems into industrial
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with synchrotron radiation experiments, X-ray diffraction/spectroscopy is beneficial Hands-on experience in experimental setup design/installation/commissioning Interest in high-pressure experiments
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Your Job: This position focuses on building, operating, and testing superconducting quantum devices. Your tasks in detail are: Design and fabrication of superconducting quantum circuits Setting up
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member of "Carb2Mol" and considered for integration into the Graduate School “Engineering Covalent Bonds in Molecules and Materials” Ec=m2 (RTG 3082; https://www.uni-saarland.de/forschen/ecm2.html