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leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We
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offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an
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inversion of FEM and TEM data of variable spatial density and sensitivity. The work will build on a recently developed EM forward operator, with the opportunity to design and implement the inversion engine
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The aim of the project is to generate De novo enzymes to degrade PET from composite fibers from recycled textiles. The first-generation designs will be further optimized after experimental
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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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background in feed processing technologies, biochemical, and chemical evaluation methods. Proven experience in experimental design, data analysis, scientific communication and writing. Demonstrated ability
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background in feed processing technologies, biochemical, and chemical evaluation methods. Proven experience in experimental design, data analysis, scientific communication and writing. Demonstrated ability
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their application-relevant states. This will allow us to establish firm connections between their catalytic properties and structures and aid our synthesis of new POMs. The project will expand beyond traditional
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. Close collaboration with our neighboring Departments (Mechanical Engineering, Electrical & Computer Engineering, Molecular Biology & Genetics, iNano, Biosciences, Food, Agroecology, and Chemistry) is a
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aptamers to modify their function in cellular models in tissue culture together with external collaborators. In addition: The lab has a focus on innovation in science and the project has an application