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of harnessing the potential of biological systems. Big data approaches and analysis of biological systems are key research instruments at the Centre. DTU Biosustain utilizes these advances for microbial cell
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. Quantifying circular economy strategies for wind turbine rotor blades, including reuse, recycling, and feedback loops. Assessing the climate mitigation potential of circular construction materials through data
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research environment focusing on integrating multi-source data and developing novel algorithms to address the challenges posed by global environmental change. You will focus on integrating experiments, field
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work primarily within our portfolio of hypothesis-generating screening studies, a methodological portfolio where we identify signals of interest from real-world register data to guide the conduct
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research environment focusing on integrating multi-source data and developing novel algorithms to address the challenges posed by global environmental change. You will focus on integrating experiments, field
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We are looking for two highly motivated computational postdocs for a 3-year position, to join the group of Prof. Ana Cvejic from the 15th of June 2025 or soon thereafter. Information
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image quality in time-resolved micro and nano CT data. Develop and apply numerical implementations in simulation studies as well as to large experimental micro and nano CT data. Explore multi-modality
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of meteorological phenomena impacting the wind energy sector, in particular with respect to wind resources and wind conditions. For example, investigating how large-scale wind farm clusters may impact atmospheric and
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with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and analysis of biological
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PhD degree (or equivalent) in Manufacturing Engineering, AM, or related field Experience with metrology of small to large scale laser-based metal AM components (e.g. DED, powder-bed fusion) Experience