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Field
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the scope of R&D projects CFD4SynGAS - Optimizing syngas yield via CFD modeling of co-gasification of biomass and Refuse-Derived Fuels for Waste-to-Energy solutions, 2024.14779.PEX. The complete notice is in
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funded by the Norwegian Research Council. The candidate will focus on: Synthesis of materials Electrode development Optimization of materials, electrochemical evaluation and operando characterization
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conversion. Integration of developed materials into soft and deformable thermal energy-harvesting devices. Characterization and optimization of the thermoelectric, electrochemical, and energy-conversion
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optimization of the electrical, electrochemical, mechanical, and energy-conversion performance of materials and devices. Fabrication and validation of multi-cell devices under representative low-grade heat
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of biotechnology relevant compounds. Individual pathway enzymes will be characterized and optimized and fungal strains will be developed that result in optimal production while downstream processing aspects will
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at the intersection of construction and digitalization: optimization of construction processes, new and alternative cementitious materials, sensor-based monitoring of concrete performance, and
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decision support systems (DSS) allowing farmers to boost productivity, optimize resource use efficiency, and improve the quality of resources. For example, AI technologies are applied to plant and animal
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retrieve shapes, overlay errors, and other geometrical parameters of the target using methods ranging from local and global optimizers to priors and neural networks developed by partners in the project. Job
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and prior knowledge of the sample geometry. You investigate and optimize the trade-off between accuracy and imaging speed. For real-time application, the speed and accuracy of the algorithms will be
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research projects focused on cellular immunology and host responses to infection. · Develop and optimize advanced mammalian cell culture systems, including complex 2D and 3D cellular models. · Perform