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computational datasets of disordered materials based on density functional theory calculations and training machine learning models to accelerate the predictions. This work will involve collaboration with Assoc
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, demonstrating strong collaboration skills and the ability to acquire new skills and technologies. Prior expertise in architecture is not required. Outstanding spoken and written communication skills in English
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positively to a collaborative and interdisciplinary research environment. We value curiosity, willingness to learn new techniques, and interest in exploring emerging research directions at the interface
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At the Technical Faculty of IT and Design of the Department of Sustainability and Planning, Copenhagen, a position as Postdoctoral researcher in Geospatial Machine Learning for Predicting Land Use
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learning, for offshore industrial produced water treatment processes. The developed methods/solutions should be tested and demonstrated on a globally leading pilot-plant sited at Aalborg University
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its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and
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international conferences. You will collaborate closely with international academic partners and industrial stakeholders involved in integrated energy systems and district cooling. The position is offered in
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has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct
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education in the general area of computer science, including curiosity-driven research and targeted research in collaboration with industrial partners, traditional university education with a unique problem
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are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication