117 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "https:" positions at Forschungszentrum Jülich in Germany
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edge of energy systems and computational engineering, developing scalable methods to simulate and secure IBR-dominated grids. Your key responsibilities include: Conducting large-scale simulations
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Your Job: Investigate the potential of novel computing architectures for lattice field theory workloads Contribute to the design and implementation of an open-source lattice field theory framework
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. or equivalent) in applied mathematics or in computational engineering science, computer science, simulation science with a strong background in applied mathematics Excellent programming skills (Python, C/C
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program the memristors Operando characterizing the device electrically and morphologically using conductive atomic force microscopy (C-AFM) Access and active control of advanced experimental setups Your
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Bayesian computational statistics, differentiable programming, and high-performance computing, the project aims to deliver robust, interpretable, and scalable methods for metabolic flux analysis. You will
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graduate school program (including data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/ Further development of your personal strengths, e.g., via a comprehensive
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, earth sciences, energy systems, or material sciences University degree (M.Sc. or equivalent) in applied mathematics or in computational engineering science, computer science, simulation science with a
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to leverage quantum computing and quantum sensing technologies for the development and optimization of next-generation batteries. Quantum computing bears tremendous potential in the simulation of interactions
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deploy integrated methodologies at the cross-section of battery and quantum technologies. Quantum computing bears tremendous potential in the simulation of interactions and reactive processes in materials
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training schemes for large models on high-performance computers like JUWELS and JUPITER at the Jülich Supercomputing Center. If you`re passionate about AI research and eager to make a real-world impact, we