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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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to interact intelligently with unknown objects in dynamic environments. In a traditional closed system, a robot assumes that all objects in its environment are predefined and known, allowing for specific
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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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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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bioinformaticians within and outside the group to accomplish scientific objectives; disseminate your expertise to new lab members, participate in grant writing and be actively involved in scientific discussions
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proven track record of research publications. Proven ability to conduct independent research Effective communication and mentoring skills. A commitment to diversity and inclusion in the workplace
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environment is also an advantage. A collaborative mindset and proven track record is an advantage. Excellent communication skills and interpersonal skills as well as an excellent command of the English language
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the domain of drug repurposing in psychiatry and the use of AI for high-throughput signal evaluation. We are looking for a candidate with an established track record within observational research and
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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