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We study ultrafast phenomena in quantum materials. One focus lies on the transport of electrons and their angular momentum triggered by femtosecond laser pulses. The associated processes often coincide with the femtosecond time scale and, thus, terahertz frequency scale. Consequently, to study...
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We study ultrafast phenomena in quantum materials. One focus lies on the transport of electrons and their angular momentum triggered by femtosecond laser pulses. The associated processes often coincide with the femtosecond time scale and, thus, terahertz frequency scale. Consequently, to study...
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languages used: C++ 2014, CUDA, Lua Desirable: - interest in high-performance computing with graphics processors (GPUs) and simulation methods - fluent knowledge of modern C++ and a scripting language
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mathematics, e.g., probability theory, linear algebra, differential/integral calculus Prior programming experience in Python is a must, C++ and CUDA experience are a plus Hands-on experience in working with
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needs as well as the ability to work in teams Desirable qualifications Knowledge of German Special knowledge in one of these areas is a plus: HPC (e.g., Workload Scheduler, CUDA, Infiniband) Storage (e.g
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and train CNN and SNN models utilizing frameworks such as Keras, PyTorch, and SNNtorch Implement GPU acceleration through CUDA to enable efficient neural network training Apply hardware-aware design
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designs for electrochemical reactors. What you will do Literature and patent research Production, assembly and characterization of fuel cell components Formulation development of conductive polymers
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types. Your tasks will encompass the following areas: Getting acquainted with NRMM conventional and alternative powertrain components, operating profiles and explore their interactions under various
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, computer graphics, 3D modeling, simulation and cognitive systems. Become a part of our team and join us on our journey of research and innovation! What you will do Participation in exciting scientific
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in soil processes related to soil GHG fluxes, however, the fauna exact impact on those fluxes is poorly known yet, and is a missing factor in soil GHG fluxes models. BoTiKI aims at filling