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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
quality modelling, with focus on Knowledge-Guided Machine Learning. The position is a rewarding opportunity to be integrated in an excellent freshwater group. The department’s research and advisory
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The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in merging soil physics knowledge and data-driven modeling of soil processes and properties, starting
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++) Knowledge of the fundamentals of ML/AI algorithms for communications and networking, and their implementation A creative mindset and curiosity to research and develop new solutions with highly skilled
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in microfluidics, lab-on-a-chip systems, or pore-scale flow visualization Strong experimental skills and interest in interfacial or adsorption phenomena Knowledge of multiphase flows in natural porous
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, ubiquitous WiFi, and satellite channels can support robust perception and inference for distributed AI systems, and how delays, interference, and signal imperfections affect cognitive performance
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- and project-based focus, and continued education and knowledge dissemination. Your work tasks The work is shared between two projects. One project is across the North Sea region, addressing safety
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serving (Ray/VLLM), quantization and sharding, prompt optimization, reinforcement learning, Transformers/Deep-SSMs/Test-Time Regression Extensive knowledge of agentic AI systems research, engineering and
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solutions for applications such as brain–computer interfaces, cognitive rehabilitation, and neural prosthetics. The position is open from May 2026, and the specific start date will be agreed with
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to bridge this knowledge and competence gap and develop the first model capable of accurately simulating both on and offshore transport of sediments and microplastic particles without case-specific
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their language of research and in English. Knowledge of other languages, including French and Haitian Kreyol will be considered an asset. Be part of a research team consisting of the PI and the other postdoc