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, with a particular focus on nutrient and metabolite uptake by developing embryos. In parallel, the project will apply our previously developed low-input detection methods to characterize intracellular
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, with a particular focus on nutrient and metabolite uptake by developing embryos. In parallel, the project will apply our previously developed low-input detection methods to characterize intracellular
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will be formulated for integration into a turbine-scale simulation framework developed in a parallel PhD project within RenewHydro. This position is financed through the Research Council of Norway and
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operational foundations for embodied AI and robotics. About the project Robotics is undergoing a revolution in physical intelligence. Running parallel to this revolution is an urgent need to address robust
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vendors, each with their own management interfaces, data formats, and access restrictions. In parallel, AI-driven services are increasingly deployed in a distributed fashion, with inference spread across