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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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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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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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by excellent grades in relevant courses from your education and a stellar track-record as an engineer/researcher as evidenced by your publications. You should have significant experience within several
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The successful candidate should have a proven track record of publishing in peer-reviewed international journals and possess excellent communication and academic writing skills in English. As a formal
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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 ideal candidate will demonstrate: Proven experience in thermodynamic modelling, thermo-economic analysis, and multi-objective optimization. Strong publication record in thermal conversion systems (e.g
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-objective optimization. Strong publication record in thermal conversion systems (e.g., Carnot batteries, heat pumps) and/or energy storage technologies. Proficiency with scientific tools such as EES, Modelica