25 evolution-"https:"-"https:"-"https:"-"U.S" scholarships at Aalborg University in Denmark
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landscapes, relations, and key dynamics in the development of urban social resilience • investigating and developing methods and tools for staging and facilitating development and transformation processes
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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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innovation, knowledge sharing, and professional development. Learn more about AAU Energy at www.energy.aau.dk . How to apply Your application must include the following: Application, stating reasons
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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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Molecular Ecology group, led by Tenure Track Assistant Professor Nadieh de Jonge, within the section of Environmental Biomonitoring, which focuses on the implementation and development of state-of-the-art
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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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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