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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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the integration of both Convolutional Neural Networks (CNNs) and Spiking Neural Networks (SNNs). This position will involve training and optimizing these neural networks using Python frameworks, including CUDA
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computer science, mathematics or an equivalent with above-average performance You have very good knowledge in one of the following areas: Programming skills in Python, C++ or CUDA Deep learning frameworks
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candidates with experience in software design, Python and CUDA coding, molecular dynamics calculations, and model building. Knowledge in physical chemistry, Bayesian statistics, machine learning, computational
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computer science, biology, medicine or a related field-or possess equivalent expertise You have strong knowledge of HPC and parallel computing You are proficient in C++, CUDA, and Python You are familiar
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networking Familiarity with common HPC tools, libraries, and job schedulers (e. g., Slurm, Torque, PBS) Strong proficiency in parallel programming paradigms and associated languages, such as MPI, OpenMP, CUDA
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parallel programming paradigms and associated languages, such as MPI, OpenMP, CUDA, or similar; experience with both CPU and GPU applications Ability to provide technical guidance and mentorship Knowledge
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08.04.2022, Wissenschaftliches Personal Development of Lattice-Boltzmann solver, programming in C/C++ and CUDA, implementation on GPU cluster, testing of real-time capable software on flight