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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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Midlands Graduate School Doctoral Training Partnership | Loughborough, England | United Kingdom | about 13 hours ago
the wellbeing equity gap related to housing inequalities? Methodological approach The project suggests a mixed-methods design. Quantitatively, the student will work with large and complex datasets — including
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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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-time, large-scale data demands of IIoT and lack sustainability considerations, such as energy efficiency. This research proposes a sustainable, high-performance IDS that leverages digital twin technology
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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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University of California, San Francisco | San Francisco, California | United States | about 2 hours ago
concerns Basic skills to analyze and research information and learn to synthesize large amounts of data with exquisite attention to detail Basic program and project management skills Ability to meet precise
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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