54 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "PhD Jobs" uni jobs at Forschungszentrum Jülich in Germany
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opportunities: https://go.fzj.de/LeadershipCulture In a large research institution like ours, science and administration work hand in hand. Our leadership model ( https://go.fzj.de/leadershipmodel ) provides
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with our Welcome Days and Welcome Guide: https://go.fzj.de/welcome FLEXIBILITY: Flexible working time models, including options close to full-time ( https://go.fzj.de/near-full-time ), allow you to
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JülichCountryGermanyCityJülichGeofield Contact City Jülich Website https://www.fz-juelich.de/portal/home Street Wilhelm-Johnen-Straße Postal Code 52428 E-Mail info@fz-juelich.de Phone +49 2461 61-0 Fax +49 2461 61-8100 STATUS: EXPIRED X
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to apply E-mail karriere@fz-juelich.de Website https://www.fz-juelich.de/en/careers/jobs/2025-353 Requirements Additional Information Website for additional job details https://www.fz-juelich.de/en/careers
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karriere@fz-juelich.de Website https://www.fz-juelich.de/en/careers/jobs/2026-009 Requirements Additional Information Website for additional job details https://www.fz-juelich.de/en/careers/jobs/2026-009
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karriere@fz-juelich.de Website https://www.fz-juelich.de/en/careers/jobs/2026-003 Requirements Additional Information Website for additional job details https://www.fz-juelich.de/en/careers/jobs/2026-003
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Contact City Jülich Website https://www.fz-juelich.de/portal/home Street Wilhelm-Johnen-Straße Postal Code 52428 E-Mail info@fz-juelich.de Phone +49 2461 61-0 Fax +49 2461 61-8100 STATUS: EXPIRED X
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Contact City Jülich Website https://www.fz-juelich.de/portal/home Street Wilhelm-Johnen-Straße Postal Code 52428 E-Mail info@fz-juelich.de Phone +49 2461 61-0 Fax +49 2461 61-8100 STATUS: EXPIRED X
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Service makes it easier for international employees to get started CAREER CENTER: You will receive explicit support with regard to your career development opportunities: https://go.fzj.de/careercenter FIXED
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learning, physics-informed neural networks, graph neural networks, transformers, convolutional defiltering methods, etc.) for the integration in multi-physics simulation codes You will develop code for and