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synaptic resilience and the reliability of synaptic responses. The work primarily involves mathematical modeling and numerical simulation, but also the analysis of experimental datasets for model validation
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of numerical methods Geophysical fieldwork experience, preferably with GPR and EMI Strong English writing skills (at least B2 level according to the CEFR: https://go.fzj.de/languagerequirements ), ideally
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quantify model uncertainties For further information visit our website http://www.fz-juelich.de/ibg/ibg-3/EN/Home/home_node.html or contact us via the contact form. Your Profile: Master’s degree in
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international research contexts Your Profile: Excellent Master’s degree in mechanical engineering, energy systems, computational engineering, or a related field Strong background in numerical methods and applied
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Your Profile: Master`s degree in physics, mathematics or a similar discipline Knowledge of quantum physics Experience in quantum field theory Numerical simulation skills Ability to show initiative and
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workflow for the analysis of single-crystal diffuse scattering. In this project, you will have the opportunity to contribute towards reaching this challenging aim. Your tasks include: Deducing numerous
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activity and stochasticity). For example, localized dendritic activation underlies numerous computational functions across hierarchical levels, such as denoising (filtering), increased expressivity (tunable
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in high-performance computing, numerical simulation Fluent in written and spoken English Independent, analytical, and team-oriented working style You are independent, motivated, and passionate about
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linkages based on numerical simulations and to transform them into AI- and ML-ready information to develop and implement an indirect inverse optimization framework to identify microstructures that exhibit
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-following inverters. Implementing and optimizing scalable algorithms for transient and stability analyses on HPC architectures (CPU, GPU, hybrid). Enhancing the numerical robustness and efficiency of existing