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-dominated grids, protection systems, and wide-area dynamics. Scalable algorithms and numerical methods for large-scale simulation. Scientific software and software architectures for next-generation simulation
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curation workflows, or handling noisy, imperfectly labelled historical data. *Practical knowledge of software engineering best practices, containerised deployment, or scalable data architectures
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to the project): PhD in Computer Science, Distributed Software Architectures, Artificial Intelligence, or a related discipline. Strong research background in data management, including policy governance or data
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Website https://seuelectronica.urv.cat/treballar-a-la-urv/pi26031english.htm Requirements Research FieldChemistryEducation LevelPhD or equivalent Skills/Qualifications PhD in Chemistry, Nanoscience
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efficiency; cycle behaviour and degradation; influence of electrode architecture and coating morphology. A particular objective will be to identify the appropriate level of model complexity required
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software required to exploit the upgraded tracking detectors, as well as ensuring all code used is efficient on the changing computing architectures available. The post will also support the upgrade software
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engineeringEducation LevelPhD or equivalent Skills/Qualifications We are looking for an enthusiastic researcher with a PhD in Polymer Science, Materials Science, Chemical Engineering, Mechanical Engineering, Chemistry
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-learning architectures for sequential data (e.g., Transformers, graph neural networks, state-space models). Experience with OpenCV, GPU-accelerated inference, Docker, and modern software engineering
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manufacturing techniques is the key to improved heat transfer mechanisms and more efficient use of energy. Approximately 25 colleagues work at the division, including 15 PhD students. On the international level
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Analyzing the impact of battery chemistry, aging history, operational profiles, and pack architecture on second-life performance, safety, reliability, and lifetime using a Digital Twin. Developing