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Field
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computing pipelines and package models and analytical methods as documented, reusable research software and community resources. You will be encouraged to participate in SCINet and AI Center of Excellence
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, please describe specifically how you have used agentic or developer-grade AI tools (e.g. Claude Code, Codex, Cursor, or equivalent) to conduct, accelerate, or scale your research. Entry-level use
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-time simulation will be advantageous. • Knowledge and experience in electrical machines and their control. • Knowledge of software such as PSIM, PLECS and MATLAB/Simulink • Prior knowledge and
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of Biomedical Engineering & Imaging Sciences at King's College London. You will become part of a multidisciplinary team of physicists, computer scientists, AI engineers, radiochemists, and biologists, with access
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environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software
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software optimization and communication stack for AI for Science workloads. The compute acceleration is achieved using dataflow optimization techniques that integrate with scientific simulations to enable
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-cloud computation offloading algorithms. Set up network testbeds integrating hardware, software, and communication protocols to validate edge-only, cloud-only, and edge-cloud computation offloading
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of inference speed, compute efficiency, and scalability with concurrent agents. Maintain high software engineering standards through rigorous testing, version control, clear documentation, and continuous
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intelligence Computational Science Human-Centric Computing Software Systems Position details Positions are intended for researchers who have recently completed their doctoral degree or who will complete
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