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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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novel solid-state electrolytes for batteries. Thus, the prospective candidate should have an interest in working in a collaborative team towards a common goal. The postdoc will focus on developing
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the project based on your interests and in collaboration with a leading architectural firm. The candidate is expected to publish in leading Human-Computer Interaction venues. Your competencies You hold a PhD
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background in cement chemistry, cement and concrete materials, materials science, or civil/structural engineering. The ideal candidate has solid hands-on experimental skills and enjoys laboratory-based
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systems, integrated sensing and communication, and theoretical modeling of 6G systems Solid mathematical background and significant experience in scientific computing programming (MATLAB, Python, C/C
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design for resource allocation or distributed systems Solid mathematical and analytical skills. Experience in scientific programming (e.g., Python, MATLAB, or similar). Demonstrated ability to publish
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environmental assessment and marine management or in surveying and land use, where we focus on nature restoration and climate adaptation. As society continuously evolves in the digital sphere, we also emphasise
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marine management. In surveying and land use, sustainability is reflected in our efforts in nature restoration and climate adaptation. As society continues to develop digitally, we also focus
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in environmental assessment and marine management. In surveying and land use, sustainability is reflected in our efforts in nature restoration and climate adaptation. As society continues to develop
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developing solid teaching skills. You are willing to work with problem-based learning and to involve students actively in their own learning processes through project work, supervision and dialogue-based