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be the head of the computing unit. About the project The primary research goal will be to create quantitative performance models that describe a range of numerical methods, parallel programming models
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the computing unit. About the project The primary research goal will be to create quantitative performance models that describe a range of numerical methods, parallel programming models, and hardware platforms
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information on changes in core temperature and the influence of relevant physiological variables during exposure to varying thermal environments. The Research Fellow will collaborate closely with a parallel PhD
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and NTNU. The project aims to develop an AI-enabled automated platform capable of operating and monitoring 96 parallel cell-culture experiments under precisely controlled environmental conditions. The
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monitoring 96 parallel cell-culture experiments under precisely controlled environmental conditions. The system integrates robotics, automated sample handling, sensor networks, imaging systems, cloud computing
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arenas with the user partners in CISU to develop research directions within the CISU context. The candidates' parallel projects enable direct comparison and knowledge transfer across urban contexts. Both
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National Lab, University of Tokyo etc.), the PhD candidate is expected to research on some of the following themes: New algorithms for parallel/distributed AI/ML Hardware-aware and resource-efficient
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to recruit up to ten PhD students and one or two Post Docs to work in parallel across the core engineering challenges of maritime nuclear propulsion, creating an unusually dense and collaborative internal
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on ship design, naval control systems and in shipping management. Within the project we are aiming to recruit up to ten PhD students and one or two Post Docs to work in parallel across the core engineering
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to research on some of the following themes: New algorithms for parallel/distributed AI/ML Hardware-aware and resource-efficient partitioning for parallel/distributed AI/ML Optimization of process-to-process