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this project will feed into a central model (developed in a parallel CEBE work package) linking the parameters of constitutive material model to physical and chemical properties across scales supported by AI
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the development of electro-thermal models, state estimation methods, and control strategies to support efficient battery operation and thermal management. The Postdoc will collaborate with colleagues at AAU Energy
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are for 2 years. Aalborg University contributes to the knowledge building of the global society as well as the development of prosperity, welfare, and culture of Danish society. This is accomplished through
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of Computer Science (CS) and Sustainability and Planning (PLAN). This position focuses on the machine learning methodology of the project, aiming to: Develop probabilistic spatio-temporal models that integrate
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and internationally oriented research department at Aalborg University, dedicated to developing clean and sustainable energy systems. Our research spans electrical, thermal, and mechatronic energy
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at Aalborg University, dedicated to developing clean and sustainable energy systems. Our research spans electrical, thermal, and mechatronic energy technologies, and we work closely with industry and academic
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science, public health, neuroscience, psychology, and physiotherapy to develop sustainable technological solutions. Our mission is to contribute to increased quality of life for the benefit of
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well as the development of prosperity, welfare and culture of Danish society. This is accomplished through research, research-based education, public sector services and knowledge collaboration. AAU educates students
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characterization in complex in-situ environments. The key responsibility of the position is to develop post-processing methods to extra essential features from the collected measurement data despite drone positional
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” (Improving green innovation for the blue revolution – Homepage - IGNITION ). The project seeks to revolutionize salt tolerant (halophyte) biomass use by developing a universal biorefinery model for processing