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machine learning for transport simulation. A core innovation involves Bayesian metamodeling techniques to construct fast surrogate models of the simulation space, enabling efficient scenario analysis
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possible thereafter. The aim of this project is to advance the development of multi-trait Bayesian linear regression models that enable the sharing of genomic information across traits and biological layers
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, institutional, and digital history across three work packages: (i) Communities, (ii) Hierarchies, and (iii) Infrastructures. To operationalize its approach, INNER_LEAGUE has several concrete objectives
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and learning occurs in a recursive Bayesian process by which the brain tries to minimize the error between the input and the brain’s expectation. In particular, MIB focuses on how music is involved in
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join the Grand Solution project "DRONES: Drone-Obtained Electromagnetic Signatures" to explore innovative approaches such as drone-based radio testing for large objects and EM signiture characterization
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is available for two years from October 2025 with possibility for extension. The main research objective is the exploration of non-photosynthetic sources of oxygen in oxygen-depleted waters, so called
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institutions and industrial partners, supported by the European Defence Fund, as either a Research Assistant or Post-Doc. The objective of this project is to enable AI solutions for Human Language Technology in