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only of storing information, but also of manipulating, organising, and retrieving it through molecular data structures analogous to those used in computer science. Building on our pioneering experimental
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certain extent. The person should finish the work with a doctoral degree in engineering science. The research will be conducted within the ArcelorMittal Chair of Steel Construction. The project focuses
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. Where to apply Website https://phd.fbk.eu/calls/detail/structured-semantic-enhancement-of-3d-scene-rep… Requirements Research FieldOtherEducation LevelMaster Degree or equivalent Additional Information
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on developing probabilistic latent-variable methods for large and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High-dimensional and structured
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beam (FIB) imaging - can be combined with AI to reconstruct nanoscale chip structures and infer functional behaviour from physical layouts. The project addresses the challenge of extracting reliable
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sits at the intersection of AI Safety and Data-Centric AI. We aim to make large-scale ML more reliable, transparent, and aligned with human values. We are specifically interested in: Data-centric AI
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structures with extraordinary precision and do so quickly enough to keep up with large-scale production. This creates a fascinating computational challenge: how can we infer hidden physical properties from
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mechanistic and reliable service-life prediction models for concrete infrastructure, supporting improved durability design, maintenance planning and resilience of reinforced concrete structures exposed
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sits at the intersection of AI Safety and Data-Centric AI. We aim to make large-scale ML more reliable, transparent, and aligned with human values. We are specifically interested in: Data-centric AI
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) are increasingly used in civilian and defense applications such as surveillance, environmental monitoring, infrastructure inspection, etc. However, the platforms are mostly produced with passive structural