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above-mentioned position is being advertised as part of the project ‘Bis(carbene) Analogues of Aluminium and Gallium as Building Blocks for Highly Selective Reagents and Next Generation Catalysts - AGILE
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dynamical imaging in all areas of science, covering physics, chemistry and biology. 29 Interdisciplinary doctoral PhD projects in the fields of Ultrafast Science and Quantum Materials Research The program
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doctoral PhD projects in the fields of Ultrafast Science and Quantum Materials Research The program offers exciting research opportunities at ultra-intense electron and X-ray sources to directly observe
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
nano-structures. In this project, we will combine numerical models, experiments, and artificial intelligence (AI) to guide the design of specific DNA nanoconstructs. The primary goal is to build an AI
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PhDGermany Find your suitable PhD opportunity in Germany. Find your suitable PhD opportunity in Germany. Back to Overview Working LanguageEnglish LocationJülich Application Deadline07 Nov 2025 Starting Dateas soon as possible Content Navigation Overview Description Required...
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Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description ABOUT THE PROJECT OBJECTIVES | https://www.quriousclocks.eu
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memory chips! By merging logic and memory elements, costs and the required wafer area can be minimized and, above all, energy efficiency and speed can be maximized. Specifically, in this project we
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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: Promotion Job description: Your Job: Digital methods for inverse materials design are essential
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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
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01.10.2025, Wissenschaftliches Personal This PhD position is part of the interdisciplinary TUM GNI project AUROrA – AI-Driven Urban Flood Resilience: Integrating Earth Observation and Architectural