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models for forest-based 3D point cloud data. In recent years, large advances have been made for deep learning algorithms for high-resolution point clouds from small geographic areas. We seek a candidate
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printing), enabling new design opportunities and advanced construction techniques. The research methodology combines theoretical modelling and experimental validation. The work will begin with an extensive
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mission is to establish an internationally leading interdisciplinary hub that advances foundational research, responsible innovation, robust governance and broad capacity building. This fellowship is
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leading interdisciplinary hub that advances foundational research, responsible innovation, robust governance and broad capacity building. This fellowship is associated with the third cluster of the centre
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LEARN’s mission is to establish an internationally leading interdisciplinary hub that advances foundational research, responsible innovation, robust governance and broad capacity building. This fellowship
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leading interdisciplinary hub that advances foundational research, responsible innovation, robust governance and broad capacity building. This fellowship is associated with the third cluster of the centre
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16th November 2025 Languages English English English The Department of Civil and Environmental Engineering has a vacancy for a PhD Candidate in Advances in Hydropower Inflow Forecasting Apply
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approach of data-driven membrane discovery that includes material space construction and exploration, candidate selection and verification, providing data for machine learning models to optimise membrane
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English English PhD Position at Biomaterial Science PhD Position – Serotonin Signaling in 3D Tissue Models Apply for this job See advertisement About the position / About the job Biomaterial Science (BIOMAT
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control Advance the knowledge on grid protection, control and automation developments The main supervisor of the PhD candidate will be Professor Irina Oleinikova . Co-supervisors will be Professor Hans