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the SmartWheat project, SmartWheat: Harnessing AI Models for Climate-Resilient Wheat Varieties in Sustainable Agriculture, at NMBU. The successful candidate will develop AI-driven models for the analysis of UAV
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the development of transport systems that integrate safety, energy efficiency, driving experience, artificial intelligence, and automation across the road, rail, aviation, and maritime sectors. Through our research
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-power charging infrastructure. The work will combine battery-system modelling, power-electronic architecture analysis, automatic control, and switching/modulation strategies. The postdoc will develop and
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Research Infrastructure? No Offer Description If you enjoy turning complex dynamic systems into clear models and want your research to actually change how trucks can be developed into more sustainable actors
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Join us at the Division of Chemical Physics , Department of Physics and Astronomy , and contribute to the development of next-generation artificial intelligence methods for materials discovery and
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expertise in advanced MIP microspectroscopy and its application in cell and environmental studies Participate in method development of quantitative MIP protocols for determination of the target molecule mass
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to the development and maintenance of acute and chronic pain. The work involves advanced histological and neurobiological methods, as well as experimental models used to investigate interactions between the nervous
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of engagement. Read more at: Department of Computing Science Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven
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exploring the genomic and functional mechanisms behind microbial biocontrol. By developing effective biological alternatives to chemical pesticides, your work will help advance resilient food systems and
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division The Division of Biomedical Engineering is part of the Department of Materials Science, and Engineering at the Ångström Laboratory. We perform research within the development of miniaturized