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for Doctoral Researchers and Supervisors: https://www.fz-juelich.de/en/judocs You will be enrolled in the PhD program of the department of Electrical Engineering and Information Technology, RWTH Aachen. Targeted
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22 Aug 2025 Job Information Organisation/Company RWTH Aachen University Research Field Engineering » Civil engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country
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21 Aug 2025 Job Information Organisation/Company GFZ Helmholtz Centre for Geosciences Research Field Environmental science Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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the Institute of Advanced Simulation – Materials Data Science and Informatics (IAS-9) and the Institute of Energy Materials and Devices – Structure and Function of Materials (IMD-1) to establish a data-driven
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Aachen. ENROLLMENT: The student will be enrolled in the PhD program of the department of Electrical Engineering and Information Technology, RWTH Aachen LEAVE: You will receive 30 days of leave plus
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22 Aug 2025 Job Information Organisation/Company RWTH Aachen University Research Field Engineering » Civil engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country
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(master’s or equivalent) with excellent grades in the field of data science, material science, mechanical engineering, physics, or similar, with a strong machine learning or simulation background In-depth
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
-based digital twin, which can predict the assortment and sequence of two-dimensional all-DNA motifs required for the engineering desired tessellation patterns at the nanometer scale. We will use available
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Project (PhD Position) – AI-Guided Design of Scaffold-Free DNA Nanostructures Your Job: The field of structural DNA nanotechnology holds a great promise for the realization of all-DNA building blocks with
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– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1