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regulates inflammation, cell death and infection outcome by using and further developing a human stem-cell-based model system recently established in the group. We are looking for a highly motivated PhD
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stem-cell-based model system recently established in the group. We are looking for a highly motivated PhD candidate with some experience in working with stem-cell based models, CRISPR-based gene editing
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relevant if there is a strong focus on data-driven modeling, machine learning, and control. In any case, a documented background or experience in control is required. Your education must correspond to a five
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
of deformation mechanisms and recrystallization processes. The project will focus on understanding and modelling the microstructure evolution during extrusion, with particular emphasis on crystallographic texture
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candidates within Modelling Strength and Failure in Recycled AluminiumAlloys funded through the Centre for Research-based Innovation SFI FAST – Future Aluminium Structures. The positions are linked
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hydrodynamic load models. The purpose of this work is to increase the understanding of longlines with seaweed under sea loads and develop accountable hydrodynamic load models. Your supervisor will be Professor
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to waves and current at various stages of growth. The hydroelastic behavior of the seaweed is not sufficiently well understood, and hence there are no good hydrodynamic load models. The purpose of this work
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for machine learning models to optimise membrane properties, structure, and fabrication. The fellow will play a key role in the experimental part of the project, including: Preparation and characterisation
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building are central pillars of CELECT. The center will educate more than 30 PhD and postdoctoral researchers and over 120 MSc students, strengthening Norway’s international position in new product
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initiatives within innovation in complex systems. Education and competence building are central pillars of CELECT. The center will educate more than 30 PhD and postdoctoral researchers and over 120 MSc students