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, OpenFOAM), and plasma physics (XGC, IPPL). Expected qualifications: A Master's degree in Computer Science or Applied Mathematics. Necessary knowledge: Modern C++, GPU computing with CUDA/SYCL, MPI, Krylov
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You are thrilled by both conceptual questions and experimental work in the laboratory as well as the optimization and further development of components for high-power fiber lasers and would you like
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topic Prior programming experience in Python is a must, C++ and CUDA experience are a plus Familiarity with PyTorch and modern deep learning frameworks Experience in training and evaluating computer
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part of Helmholtz networks, e.g., HIRSE; https://www.helmholtz-hirse.de and internationally Your Profile: University degree (Master, Diploma) in natural sciences, computer science or engineering PhD in
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Developer (m/f/d) as of 1st January 2026. The position is limited to two years. The regular weekly working time is 39.8 hours (full-time) and the position is generally suitable for part-time employment
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for part-time employment. The position is assigned to pay scale group 11 TV-L of the collective agreement for the public service of the federal states (TV-L). Recruitment is subject to final funding
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the amount of tedious and error-prone manual work. The driving factor is the availability of large amounts of data. However, in this domain data is often sparse or labelling data is expensive. This requires
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the amount of tedious and error-prone manual work. The driving factor is the availability of large amounts of data. However, in this domain data is often sparse or labelling data is expensive. This requires
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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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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