42 evolution "https:" "https:" "https:" "Multiple" "I.E" PhD scholarships at Aalborg University
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At the Technical Faculty of IT and Design, Department of Sustainability and Planning, a PhD stipend is available within the general study program Development and Planning. The stipend is open for
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on mitigating its negative impacts with limited attention given to the development of tools and processes for planning and managing waste handling in order to increase reuse and recycling rates. The purpose
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At the Technical Faculty of IT and Design, Department of Sustainability and Planning (PLAN), a PhD stipend is available within the general study programme Planning and Development. The stipend is
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Space Tech Center will enable collaboration between the PhD and researchers on space technologies across multiple departments and faculties at AAU, as well as access to state-of-the-art simulation
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AI for Cyber-Physical Energy Systems (Copenhagen) The PhD position focuses on the development of secure and trustworthy AI for resource-constrained embedded systems used in power electronics and energy
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Prediction (AI-focused) This position focuses on developing cutting-edge AI methods for genetic risk prediction across multiple cancer types, with a strong focus on model performance and explainability
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power electronics to enhance the reuse and recycling of components, enabling a more circular life cycle. The work will contribute to a new paradigm in the development of power electronics that incorporate
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at Aalborg University and Aalborg University Hospital. At CLINDA, the research focus is on the development and implementation of clinical AI, bioinformatics and biostatistics, and methodological development
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for this PhD project consist of combining empirical studies in healthcare environments, such as observations and interviews, with prototype design and development. The project will develop new knowledge on how
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. The PhD students will work on several tasks, including: development of safe data-driven control/reinforcement learning algorithms to recover parameter identifiability by exploration of different