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to relevant external sources. By enabling data interoperability across facilities and process units, this infrastructure will allow real-time coordination, intelligent scheduling, resource sharing, and improved
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us to explore the relation between the degree and type of processing, and the foods that result from their use. The results will be used for data machine learning, in collaboration with other partners
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, through cellular, to tissue, organ and organism levels of organisation, and is coordinated by LINXS Institute of advanced Neutron and X-ray Science. AMBER is funded by the EU Marie Sklodowska-Curie (MSCA
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, through cellular, to tissue, organ and organism levels of organisation, and is coordinated by LINXS Institute of advanced Neutron and X-ray Science. AMBER is funded by the EU Marie Skłodowska-Curie (MSCA
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multimodal formats (in particular sound, video, and photography) together with the other project members. coordinate and facilitate workshops and a local exhibition within the framework of the project