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partner from data sciences provides data management and AI based Image analysis, an internal experimental group, and an internal simulation-sciences group (You+Supervisor+support by lab
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interdisciplinary PhD projects in the Simulation and Data Lab Digital Bioeconomy. Each project combines natural sciences with computational and data-driven approaches, focusing on topics such as plant carbon
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be found on our website: www.fz-juelich.de/ibg/daten-ki/casa-sdl-dbe Your Profile: Master’s degree (or equivalent) in computer science, applied mathematics, physics, engineering, biology, plant and
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-based tools in water electrolysis research Collaboration with computer science, catalyst synthesis and characterization, and theory groups to optimize water electrolysis using the knowledge obtained in
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degradation processes in PEM, AEM, and alkaline water electrolysis Implementation of AI-based tools in water electrolysis research Collaboration with computer science, catalyst synthesis and characterization
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or computer science Experience with UNIX-like operating systems Mathematical and programming skills (Python, Machine Learning) Basic understanding of molecular forces and structures Excellent knowledge of written and
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Your Job: Your PhD project will be part of an interdisciplinary research project bridging theoretical physics and theoretical computer science. In the course of this, you will work on implementing
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papers Contributing to educational events, such as courses and hackathons Your Profile: Excellent Master or PhD degree in Computer Science, Mathematics, Physics, or similar fields Good knowledge of AI and
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for the accurate calculation of materials properties. You will combine methods from quantum informatics and solid-state physics to describe the complex electronic and ionic processes in battery materials. New
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this project, you will develop innovative quantum algorithms for the accurate calculation of materials properties. You will combine methods from quantum informatics and solid-state physics to describe