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the Research Group “ Numerical Mathematics and Scientific Computing“ (Head: Prof. Dr. V. John) starting September 1, 2025. The position is assigned to the research project "Randomization of Surrogates
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strategies (e.g. predictive or machine learning approaches) to improve performance and reduce costs. Collaborating with industrial partners on design optimization, life-cycle analysis, and business case
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applications as Research Assistant Position (f/m/d) (Ref. 25/10) in the Research Group “Numerical Mathematics and Scientific Computing“ (Head: Prof. Dr. V. John) starting September 1, 2025. The position is
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on design optimization, life-cycle analysis, and business case development. Publishing results in journals and conferences, and engaging with stakeholders through workshops and demonstrations. The position is
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: Initiate and maintain cell cultures Prepare and maintain biological stocks Maintain proper lab and experimental records, both digital and hard copy Test, optimize, troubleshoot new and existing methods and
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the world's top 100 universities. The Role Applications are invited for a Postdoctoral Research Associate position in the Department of Engineering, with a focus on undertaking both experimental and numerical
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Department (DRIS), you will participate in research activities on the optimization of non-Newtonian fluid injection for the decontamination of polluted soils. Tests will be conducted, in 1D columns, in 2D
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topological optimization of light guidance in HCFs, and numerical simulation of thermo- and fluid dynamics under fiber-drawing processes. Apart from the main tasks above, the postdoc can be involved in
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numerous researchers from the department have established companies to develop new medicinal treatments founded in professional scientific basic research. You can read more about the department here and
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 hour ago
experience programming in the Unix/Linux environment using Python, Java, C/C++, or Julia; must have experience with algorithms, numerical techniques, and computational methods, specifically for uncertainty