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, including MPI, OpenMP, GPU programming or distributed computing. Scientific workflow systems and multi-physics coupling. IMAS, including IDSs, the Data Dictionary and Access Layer. MUSCLE3 or similar workflow
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programming in C/C++, preferably also Rust, and of POSIX, the Linux/Unix kernel or RTOS. Documented competence in parallel and distributed systems, including GPU programming (e.g. CUDA). Ability to explain
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of CPU and GPU resources to maximize model performance, scalability, and portability. A particular focus of the position will be a dedicated project to prepare, optimize, and benchmark the code
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) Application Deadline 14 Sep 2026 - 23:38 (UTC) Country Germany Type of Contract Other Job Status Other Hours Per Week 40 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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the institution’s mission, vision and strategic plan, and consider how their background, interest and experience would enable them to support the university. Wolfpack Perks and Benefits As a Pack member, you belong
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solutions on modern HPC and GPU-accelerated systems. This role includes supporting climate and geophysical science applications, enabling large-scale AI training and inference workflows, and contributing
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, or Transformer-based architectures Familiarity with training and evaluating models on GPU-accelerated hardware Ability to build reproducible experiments and maintain clear documentation Integrating AI/ML models
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exceptional leadership and interpersonal skills; a transformative vision for the future of engineering in general and electrical and computer engineering in particular; and a plan to realize that vision
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CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | 3 months ago
the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Head of IT Infrastructure & Scientific
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elements will also be taken into account: Programming skills in C, C++ and Java, as well as knowledge of algorithms and data structures, software engineering, parallel computing and GPU programming