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, a large initiative funded by the Danish Ministry of Foreign Affairs and managed by Danida Fellowship Council. Ethio-Nature aims to optimize the use of machine learning and remote sensing to site
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innovative researcher with a passion for developing new computational tools and contributing to cutting-edge research at the intersection of Physics and Earth system science. Background and relevance
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industrial and academic partners. The overall goal of the project is to optimize the design of water eletrolyzers for efficient green energy production. You will be conducting Computational Fluid Dynamic (CFD
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, laboratory automation (robotics), molecular biology, analytical chemistry, data science, and food science. The REFINES project is funded by the Innovation Foundation’s Grand Solutions program and is a
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Postdoctoral Researcher Position in Digitalization of Metal Additive Manufacturing and CO2 Impact...
unique opportunity to bridge cutting-edge digital manufacturing technologies with real-world industrial sustainability challenges. If you are passionate about advanced manufacturing, process optimization