33 parallel-computing-numerical-methods Postdoctoral research jobs at Aarhus University
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. Knowledge of Afrikaans is an advantage. qualitative research experience in Cape Town, preferably in the Cape Flats. familiarity with relevant methods, theories and critical texts related to e.g. multimodal
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoc position in optical sensors and spectroelectrochemistry
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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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Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here . At the Faculty of Natural Science at Aarhus University, we strive to support our scientific
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, contracted policy advice, and education. We offer professional laboratories, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and
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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
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. Please find more information about entering and working in Denmark here . Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can
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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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oriented focus. You will join the Junior Innovator program at Aarhus University, comprising young researchers from across all faculties. You will be encouraged to and supported in applying for external
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of materials science, tribology, surface integrity, and durability of engineering components. Our research spans experimental and computational approaches to understand how materials perform under mechanical