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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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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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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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and attentive to experimental documentation and data quality. Proactive and able to move work forward across several parallel activities. Able to communicate clearly with researchers from different
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-performance computing or parallel computing. It is also an advantage if you have experience with publication-oriented research work and collaboration in international research environments. Knowledge
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-performance computing or parallel computing. It is also an advantage if you have experience with publication-oriented research work and collaboration in international research environments. Knowledge
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to represent these effects in LCA. This project addresses both gaps in parallel by developing the first integrated One Health modelling framework for plastics. We will build a multi-compartment fate model