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Field
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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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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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and technologies. Knowledge of AI/ML is important, but the focus will be on the high-fidelity simulation environments, software networking bridges, and physical data collection architectures
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statistical software such as R, Python, SPSS, or Stata. Affinity with issues of climate justice, social inclusion, migration, and/or community-based research. Experience conducting comparative or mixed-methods
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fundamental research in physics-informed and symmetry-aware machine learning for nonadiabatic excited-state molecular dynamics. Develop and evaluate equivariant graph neural networks and related architectures
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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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. Key duties involve driving foundational research and system development in Edge AI and decentralized learning architectures. Responsibilities encompass conducting independent systems-level research
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understanding of parallel application development techniques (parallel programming models, algorithms, and software) Preferred Qualifications: Experience in implementing ab initio simulation codes such as VASP
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
simulation environment developed in T3.1. Steering/Management: The person recruited will be in charge of the technical and architectural choices for the phantom's control software, under the scientific
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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