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Engineering, Machine Learning, Artificial Intelligence, Computational Linguistics, or a related field) • Strong programming skills (e.g., Python) • Strong skills in machine learning, deep learning and modern
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complete, a master’s degree in computer science, mathematics, statistics, IT, engineering, biotechnology, bioinformatics, economics, or a related field. Experience with programming in Linux environments
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and the green transition. This meansweconduct research in areassuch as the circulareconomy, technology, urban, energy, and environmentalplanning, as well as sustainable transition and design
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Engineering, Science and Systems (DESS) research group focuses on data-intensive systems, spatio-temporal data management, data analytics, and applications of machine learning, with applications in digital energy and
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such as the circular economy, technology, urban, energy, and environmental planning, as well as sustainable transition and design. Sustainability is central to our work in environmental assessment and
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At the Faculty of Engineering and Science, Department of Materials and Production a PhD stipend is available within the doctoral programme Materials Science, Mechanical and Manufacturing Engineering
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, constructive in feedback, and willing to contribute to a positive, creative and productive research culture in the iGRIDS group and the wider department. You must hold a PhD in Energy Engineering, Electrical
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, 2026, or as soon as possible thereafter. The position is available for a period of 24 months. In electronic engineering, Aalborg University is known worldwide for its high academic quality and societal
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at biomass power plants. Your Competencies: We seek highly motivated researchers with a PhD in computer science, engineering, robotics, or a related field, evidenced by a strong publication record. Candidates
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, and Media Technology and is part of a larger project involving at least one other PhD candidate and a postdoctoral researcher. The candidate’s workplace will be in Aalborg. Your work tasks The PhD