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between the Universities of Cambridge and Bonn and numerous international partners, and funded by Stiftung Mercator. The programme investigates how to place the questions of social justice and environmental
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validation experiments for modelling • Computational fluid dynamics techniques • Finite element analysis method • Reviewing literature, planning and managing research, writing technical report / paper
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. Advanced mathematical knowledge in linear algebra and calculus. Expertise in numerical methods for solving large-scale power system equations. Programming proficiency in C, C++, or Fortran (Python or MATLAB
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, including hybrid simulations coupling machine learning with numerical methods, multiscale discretization, nonlocal closure modeling, structure preservation, multilevel and multifidelity machine learning
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degree in computer science and: You have a good knowledge of C++ You have skills in software engineering. You are familiar with common development environments and associated tools Knowledge of parallel
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lattice field theory and numerical methods, with experience in HPC programming (e.g., C++, Python, MPI, OpenMP, CUDA) and parallel computing environments. - Experience in performance analysis, debugging
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professional values. In addition to a vibrant and highly competitive residency program with 25 positions, we offer 10 fellowships and participate in numerous graduate schools and the MD/PhD program of the CU
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, which performs numerical analytics during the simulation. This is necessary due to the ever-growing gap between file system bandwidth and compute capacities. To this end, we are developing the Deisa
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Martian meteorite falls using advanced correlative microscopy techniques. To determine if they are the same or different Methods We will use a correlative, big data approach that combines X-ray computed
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rates of bioactivity under a range of environmental conditions. Methods A range of techniques will be used to investigate the multidisciplinary project aims. For example: Sample collection and field