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of electrolysis Prior knowledge of electrochemistry desirable Willingness to learn additional electrochemical methods Good analytical and data processing skills with open source software, e.g. Python High degree
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! This job offer is closely linked to a related opening at IET-3 at Forschungszentrum Jülich within the same project consortium: https://www.fz-juelich.de/en/careers/jobs/2025-362 Please feel free to apply
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closely linked to a related opening at IMD-1 at Forschungszentrum Jülich within the same project consortium: https://www.fz-juelich.de/en/careers/jobs/2025-361 Please feel free to apply for both available
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with fault detection, system reliability, or fault-mitigation techniques. Strong programming skills (C/C++, Python; hardware-description languages “e.g., HLS, VHDL” is a plus). Motivation to pursue a PhD
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publications at internationally renowned venues in machine learning. Solid mathematical background, distinct analytical and numerical skills. Solid programming skills (e.g. Python, C++) Excellent ability
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and interest in working with custom-built or modified instruments Solid programming skills (e.g. Python) are desirable Ability to work independently and self-reliantly, while maintaining strong teamwork
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, mathematics, or a related field Good knowledge in data handling and machine learning Good knowledge in software development and data processing and visualization with Python Strong interest in atmospheric
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international research sites Your Profile: Completed master’s degree in mechanical engineering, material science, physics or a related field Experience in modelling and simulation (e.g. Python) Willingness and
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one programming language (Python, Matlab, R, C++, Julia, …) Good analytical skills with a sound understanding of data evaluation Knowledge of numerical simulation, for example with land surface
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European Organisation for Astronomical Research in the Southern Hemisphere | Garching an der Alz, Bayern | Germany | 18 days ago
). This instrumental project is directly aligned with the ongoing upgrade of the VLTI infrastructure, including the recent commissioning of GRAVITY+ (https://www.eso.org/public/news/eso2519/ ). The project addresses