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is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery chemistries and flow phenomena from the microscale up. The developed technologies will be
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layer composition and structure Advanced knowledge of the impact of air pollution on health and on aquatic environment and terrestrial ecosystems Air quality and climate change effects Emission, transport
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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning
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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning
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programming skills (R, Python, or Matlab), particularly regarding bioinformatic tools. In addition, you are expected to have insight into plant biomass composition, chemistry and analytics, some practical
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Job Description The section for Materials and Durability at DTU Sustain is seeking a PhD candidate with an interest in circular construction for a project on optimization or reactivated cement – is
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. The Department’s laboratories are equipped with modern infra-structure and shared state-of-the art instrumentation. This includes recently acquired NMR, mass spectrometry (LC- and GC-MS, including high-resolution