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theoretical and numerical methods based on optimal control to optimize sensor selectivity and sensitivity. Using this setup, different sensor targets will be explored experimentally, and the data should be
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to the specific requirements listed in this advertisement. Please read more here: https://jobportal.ku.dk/videnskabelige-stillinger/kriterier-for-videnskabelige-stillinger/kriterier-for-meritering-maj-2026
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studies using kidney cell culture models to investigate receptor–ligand interactions and endocytic pathways. Perform and optimize molecular, biochemical, and histological techniques, including
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consist of the PI, one postdoc and one PhD. Read more about the project here: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders/eksterne-personer-en/research-leaders-2025/mathias
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the system to learn optimal adjustment policies directly from interaction with the physical infrastructure. Anomaly detection and fault diagnosis. The candidate will develop a multi-level diagnostic framework
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of data-based technologies and IoT in Smart Farming systems. The main tasks include: 1) operations optimization (logistics, route planning, supply-chain management); 2) the application of remote sensing
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focus on development and advancement of data-based technologies and IoT in Smart Farming systems. The main tasks include: 1) operations optimization (logistics, route planning, supply-chain management); 2
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closely related field, with a strong background in AI/ML technologies, including algorithm development, optimization, and data-driven modeling. Candidates are expected to demonstrate research leadership
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dissemination is expected to focus on leading Human-Computer Interaction venues. For further information about the project, see: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders
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biodiverse crops and agricultural practices to mitigate the effects of climate change on global food production: https://novonordiskfonden.dk/en/news/climate-resilient-crops-novo-nordisk-foundation-and-the