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. The project focuses on the intersection of deep reinforcement learning, probabilistic modeling, and bio-inspired architectures (such as Spiking Neural Networks) to achieve sample- and energy-efficient robust
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package III develops and tests remedies against the harmful effects of this rhetoric, using generative agent-based simulations and AI-chatbot-based dialogue experiments. The two postdocs advertised in
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of these experiments. As part of this, we have developed new algorithms and a completely new web-based platform – EasyNMR - for performing such modelling/simulations. With this position, we seek to strengthen
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nitrogen dynamics, and climate change mitigation potentials in agroecosystems. You will be contributing specifically to the area of regional simulation using process-based models and advanced statistical
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dynamic models for simulation, analysis and control design, and you are motivated by developing and implementing model-based control solutions that must perform reliably in a real pilot-scale system. You
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A three-year postdoc position is available in modelling of solid-state NMR experiments from 1 October 2026 (or soon thereafter) in the Danish Center for Ultrahigh-Field NMR Spectroscopy
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, you will have the opportunity to advance scientific expertise on integrated modelling of the entire water cycle, with particular focus on real-time simulations and operational forecasting. A key element
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in general. You are very well-versed working with data, models, statistics, simulations, and in general quantitative methods. Basic experience with programming (e.g. python) is a requirement, while
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enzyme class with applications in industrial biotechnology and drug development. The main model system is bacterial glucuronoyl esterases, which cleave ester bonds linking lignin and carbohydrates in plant
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electromagnetic simulation tools, such as CST Studio Suite or Ansys HFSS, and you use them systematically as part of your design workflow. You also have practical skills in numerical modelling and data analysis