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. Documented programming skills to compute data driven simulation models and AI systems. Ability to develop monitoring and evaluation framework and collect data. Fluency in English, both written and spoken, as
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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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gasification and pyrolysis Good programming skills in MATLAB, Aspen Plus, Modelica, etc Good knowledge of data driven methods for modelling and optimization Good knowledge of AI Experiences in scientific
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Do you want to contribute to the future of AI-driven electric transport systems? Join our research group to develop advanced machine learning methods for electromobility, focusing on energy-aware
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-level computational model of the human cell. The program is led by Jan Ellenberg, Director of SciLifeLab and Mathias Ulhen, Director of the Human Protein Atlas, together with a collaborative, multi
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and AI methods for materials discovery. Design and implement active-learning workflows for autonomous exploration of materials spaces. Develop and evaluate generative AI models for inverse materials
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will work in the group led by Professor Paolo Monti, whose research focuses on transport network design, resilience, and AI-driven network automation for 5G and 6G infrastructures. About the research
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will work in the group led by Professor Paolo Monti, whose research focuses on transport network design, resilience, and AI-driven network automation for 5G and 6G infrastructures. About the research
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platform to identify and optimize therapeutic candidates. Our group specializes in developing technologies to assess the multicellular environment within three-dimensional microtumor models. The project