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karriere@fz-juelich.de Website https://www.fz-juelich.de/en/careers/jobs/2025D-180 Requirements Additional Information Website for additional job details https://www.fz-juelich.de/en/careers/jobs/2025D-180
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network approaches for stress prediction in arterial walls and plaque. Another part of the project is exploring the use of large language models to support neural network design and data preprocessing
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agreement can be found on the BMI website (pay scale table on page 69 and following of the PDF download): https://go.fzj.de/bmi.tvoed Further Information: hds-lee@fz-juelich.de We welcome applications from
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Website https://www.fz-juelich.de/en/careers/jobs/2026D-005 Requirements Additional Information Website for additional job details https://www.fz-juelich.de/en/careers/jobs/2026D-005 Work Location(s) Number
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. Where to apply E-mail karriere@fz-juelich.de Website https://www.fz-juelich.de/en/careers/jobs/2025D-184 Requirements Additional Information Website for additional job details https://www.fz-juelich.de/en
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-juelich.de/en/careers/jobs/2025D-183 Requirements Additional Information Website for additional job details https://www.fz-juelich.de/en/careers/jobs/2025D-183 Work Location(s) Number of offers
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the use of large language models to support neural network design and data preprocessing. The position involves close collaboration with experts in cardiovascular simulation and Scientific Machine Learning
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data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/ Qualification that is highly welcome in industry Further development of your personal strengths, e.g. via a
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data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/ 30 days of annual leave (depending on agreed working time arrangements) and provision for days off between
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data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/ 30 days of annual leave (depending on agreed working time arrangements) and provision for days off between