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‑space exploration, and on‑line operational optimization of power systems. Your tasks in detail: Become familiar with our previously developed neural network superstructure for learning iterative
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to accelerate solving AC power flow (AC-PF) computations, potentially facilitating real‑time contingency analysis, rapid design‑space exploration, and on‑line operational optimization of power systems
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prediction Integration of domain decomposition methods into the learning framework to enable efficient model parallel training Implementation and optimization of GPU-accelerated training pipelines Validation
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efficient model parallel training Implementation and optimization of GPU-accelerated training pipelines Validation of models on patient-specific geometries obtained from MRI data Participation in conferences
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The Saarbrücken Graduate School of Computer Science provides an optimal environment for pursuing doctoral studies in computer science at an internationally competitive level. As a student, you
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retreats) https://www.hds-lee.de/about/ A qualification that is highly welcome in industry 30 days of annual leave and flexible working arrangements, including partial remote work Further development of your
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to apply E-mail personal@ufz.de Website https://recruitingapp-5128.de.umantis.com/Vacancies/3332/Description/2 Requirements Additional Information Website for additional job details https://recruitingapp
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Supervisors: https://www.fz-juelich.de/judocs 30 Days of annual leave and flexible working arrangements, including partial remote work Targeted services for international employees, e.g. through our
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staff position within a Research Infrastructure? No Offer Description 2 Doctoral Researchers (f/m/d) in Computational and Data Science at KIT https://www.kcds.kit.edu/72.php Application deadline: January
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) conferences Unique HDS-LEE graduate school program (including data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/ Qualification that is highly welcome in industry Further