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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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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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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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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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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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challenges linked to content moderation within online platform companies such as YouTube, Meta, and X. It has two objectives: one, to understand how content moderation presents itself as dirty work while
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-documented track record in research into the cultural history of South Korea, Korean cultural studies, or related areas. The candidate should be genuinely interested in exploring childhood history between 1995
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of drug repurposing regarding psychiatric effects of drugs and the use of AI for high-throughput signal evaluation. We are looking for a candidate with an established track record within observational