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Field
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transport models; Expert knowledge of programming, preferably in Python and/or Fortran; Experience with space-industry based emissions and their impact on the atmosphere. What we offer: VISESS doctoral school
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researchers from other universities, and external parties such as Deltares Research Institute and Rijkswaterstaat. Your work will contribute to the effective representation of the subsurface architecture and
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); an affinity for one or more of: world models, generative modelling, causal/representation learning, reinforcement or imitation learning, dynamical systems, or robotics; the ability to formulate and pursue
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scenarios, and analyse the resulting data. You might further engage in qualitative follow-up studies gaining in-depth knowledge about the underlying mechanisms. A central part of your work will be
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. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load
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to create knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position aiD – AI for Decisions – is one of Norway's new national AI
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that combines longitudinal real-world data, causal inference and agent-based knowledge integration to improve therapy sequences beyond the second line. In SEQUORA, we develop trustworthy AI assistance
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international nature conservation, the relationship between fieldwork and laboratory research, man's changing relationship with ‘wild’ animals, and the representation of science in broader culture. Raf De Bont is
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. linguistic bias), specifically the effects of grammatically un/gendered languages and the masculine default, on gendered representations using corpus linguistic methods; reveal how AI tools echo and reinforce