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15th May 2025 Languages English English English The Department of Marine Technology has a vacancy for a PhD Candidate in optimal fleet renewal strategies zero emission shipping Apply for this job
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optimal configurations, dimensions, and mooring systems through the development of efficient analysis tools and application of numerical optimization techniques. Are you motivated to take a step towards a
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assessment of soil properties. Using 3D data and building information modelling (BIM), we will optimize excavation planning. The project requires interdisciplinary collaboration and advanced technological
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), renowned for expertise in decision-making, optimization, control, and AI for sustainability, invites applications for a PhD position. This project focuses on developing a novel, sustainable urban food-energy
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code compilation, which offer a modular approach to domain-specific optimizations. Your project is expected to contribute to cutting-edge research initiatives leveraging, analyzing, and exploiting
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specific gene or disease. Work tasks The work tasks concentrate on optimizing and scaling up protocols for efficient mutation correction in human T cells and hematopoietic stem cells, and transplanting cells
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robotized solutions (employing robotic facilities at NTNU), in collaboration with the industry, with a view to evaluating and optimizing the processing procedure. Participation in the research activities
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engineering for ships, incl. optimal energy and emission management of hybrid electric power systems. Your place of work will be at the Department of Marine Technology . About the project The STEESMAT project
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to an optimal health service, as well as good pensions, generous maternity/paternity leave, and a competitive salary. Nursery places are guaranteed and reasonably priced relocation programme Diversity Diversity
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to accelerate the design and optimization of materials that can enhance performance, efficiency, and sustainability across various technologies. The successful candidate will conduct innovative research aimed