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linear ballistic accumulator models, diffusion models, biased competition models, or Bayesian models. During the employment, the candidate is expected to engage in the development of computational models
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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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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
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team, focusing on electrochemistry, to integrate and optimize a two-stage fermentation pilot plant. The overall objective of this work package is to further develop, test, design, and operate abiotic
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causing these variations in A and F stars. Using asteroseismology, we aim to detect and analyze near-core and surface magnetic fields. This involves comparing theoretical models with photometric
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products, and plastics & composite products. The objective of the post-doc is to facilitate and coordinate industry-university collaboration in the development and implementation of remanufacturing systems
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team, focusing on electrochemistry, to integrate and optimize a two-stage fermentation pilot plant. The overall objective of this work package is to further develop, test, design, and operate abiotic