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. This collaboration fosters a strong interdisciplinary environment across institutions, leveraging complementary expertise in statistical genetics, biomedical data integration, and computational method development
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research within the areas of Plant Molecular Biology, Neurobiology, RNA Biology and Innovation, Protein Science, Cellular Health, Intervention and Nutrition. There are currently 75 full time scientific staff
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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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. 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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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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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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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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scientific impact in: Earth system science, by improving our models to reconstruct the evolution of Earth’s landscapes and thus help predict their future. Engineering applications, such as the design of next
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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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-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department consists of eight research sections with