22 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM"-"L2CM" PhD positions at Aalborg University in Denmark
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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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. 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
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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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, where relevant, PhD level, typically within areas related to wireless communication. This includes course teaching, supervision of project and thesis work, and involvement in the continuous development
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-year employment is funded by the Energy Technology Development and Demonstration Programme (EUDP) and aims to deliver a standardised, robust, and scalable subsea electrode unit for HVDC systems. The PhD
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(CAM) . CLINDA aims to conduct independent research in the development, application, and implementation of data infrastructures for AI-based decision support tools and is rapidly growing with currently
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prediction outputs. The first PhD will work on data fusion, feature extraction, and model development ranging from baseline approaches (e.g., gradient boosting) to deep learning architectures. The work also
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evolution in Denmark, and potential challenges and opportunities. You will contribute to these analyses but also have freedom to pursue original ideas, which can then shape the thematic chapters
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for its contribution to the United Nations Sustainable Development Goals. Stipend 1: The Department of Computer Science has more than 170 scientific staff, 20 administrative staff, and around 1,100 students
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year before the position expires, you will be offered an interview to clarify your future career. The PhD research will focus on the development of AI models for analysis of prehospital ECGs, with