59 structural-engineering-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dip" uni jobs at Forschungszentrum Jülich
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processes based on CO2 and other carbon-rich waste streams enable net-zero CO2-conversions into valuable chemicals. This project aims to design, integrate and optimize metabolic pathways in an engineered C
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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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with respect to efficiency and operational flexibility Build models for steady-state amd dynamic process simulation Plan and specify process engineering tasks and coordinate the procurement of equipment
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efficient information flow between the project coordinator, interdisciplinary teams, and external partners Your Profile: Completed university degree (bachelor) in natural sciences, engineering, business
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with AI-assisted live-cell microscopy for autonomous feedback imaging and data analysis. Contribute to trainings, technology transfer and perform lab rotations across Helmholtz centers. Publish results
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, intermediate products, and finished products based on, for example, historical trade data ( https://www.cepii.fr/CEPII/en/bdd_modele/bdd_modele_item.asp?id=37 ) Analysis of historical developments in material
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establishing the institute`s research infrastructure and laboratory operations Your Profile: Bachelor or Master`s degree in physics, electrical engineering, control systems engineering, mechatronics, or a
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, machine learning, energy technology or related subjects Prior experience in building predictive models using regression techniques, neural networks (CNN, GNN) or symbolic regression Experience in
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Your Job: Be part of an engaged, interdisciplinary team of scientists and engineers with diverse backgrounds and skills at the interface of neuroscience and computing Coordinate a third-party funded
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institute Supervision from both chemical engineering and machine learning experts, ensuring strong interdisciplinary guidance Your Profile: Current Master`s student in Process Systems Engineering