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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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the research, focusing on both component-level solutions and algorithm optimization. The chosen solution will typically be implemented on a microprocessor platform, with the possibility of using FPGA
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sensors, energy-efficient processing is central to the research, focusing on both component-level solutions and algorithm optimization. The chosen solution will typically be implemented on a microprocessor
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of Norway (NFR). DYNCAT aims to develop highly predictive, physics-based models to study and optimize the Rochow Mülller process, which generates the raw material for silicone production. The project will
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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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the crash structures and battery enclosures of electric vehicles to enhance safety, where an optimal balance of strength and ductility is important. These crash structures are often made from extruded
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, and employ innovative design approaches and modelling techniques such as optimization algorithms. Specifically, your study will involve: Thermal Insulation Behaviour: The research will model how thermal
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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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optimizing workflows for large-scale genetic and neuroimaging datasets is an advantage. Documented experience with Open science practices is an advantage. The evaluation of applicants is based on documented
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low alloy steels. To ensure their effectiveness, the project investigates how these barriers interact with hydrogen—studying uptake, diffusion, and mechanical performance—while also optimizing cladding