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construction materials with a low carbon footprint, focusing on the valorisation of industrial residues and the development of technologies for CO2 capture and mineralisation in construction materials
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to be enrolled in a study programme leading to a PhD (or in a non-degree programme). - Have proven experience in physical and digital modeling to predict the structural performance of packaging, enabling
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implementing an architecture, such as a Lakehouse, capable of storing heterogeneous data from external, internal, and crop sensing layers. Actions include modeling schemas for unstructured and structured data
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structural stability of RNA, isolated or complexed with different compounds, using microscopy techniques (SEM and TEM) and Circular Dichroism; 3) Characterization of the biological activity of RNA through
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, internal, and crop sensing layers. Actions include modeling schemas for unstructured and structured data, such as pH and CO2 time series, defining data partitioning policies to optimize historical queries
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implementing an architecture, such as a Lakehouse, capable of storing heterogeneous data from external, internal, and crop sensing layers. Actions include modeling schemas for unstructured and structured data