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software or similar languages and experience with modern machine learning and deep learning frameworks parallel computing using clusters like UPPMAX and GPUs for high-performance computing and parallel
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infrastructure, including GPU-based systems. Also of importance are: Demonstrated teaching proficiency Type of employment: The position is fixed-term for four years. During the period of employment, an Associate
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GPU-centric communication techniques. Collaboration & impact: We actively encourage you to publish your research in high-profile international venues, providing the opportunity to contribute directly to
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theoretical physics. prior work in many-particle quantum mechanics. excellent knowledge and previous experience in HPC and proven competence in c++ and GPU computing. good ability to work independently and to
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infrastructures Documented, long-term experience of independent research within life science/bioinformatics Documented experience of large-scale data management, high-performance computing (HPC), GPU acceleration