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approaches or process-informed machine learning; experience with European soil/land-use datasets (e.g., LUCAS) and familiarity with EU agricultural practices; a publication record in soil carbon modelling
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the Earth: from the Earth’s core to its surface, including man’s spatial and material utilisation of the Earth – always with a focus on sustainability and innovation. With 3,400 students (BSc and MSc) and 720
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approaches or process-informed machine learning; experience with European soil/land-use datasets (e.g., LUCAS) and familiarity with EU agricultural practices; a publication record in soil carbon modelling
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the Earth: from the Earth’s core to its surface, including man’s spatial and material utilisation of the Earth – always with a focus on sustainability and innovation. With 3,400 students (BSc and MSc) and 720
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will investigate the potential of a novel volumetric bioprinting technique to understand how mechanical and chemical factors affect pancreatic specification and to generate a rapidly vascularising
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to keep the data up-to data with very little effort. Estimate energy and land needs for the realization of the CCU potential. Develop a multi-objective optimization model for individual CCUS projects