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and GPU-accelerated computing. Familiarity with job scheduling (e.g. SLURM), conda/mamba environment management, and pipeline orchestration (e.g. Snakemake) is required. have strong proficiency in
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-performance computing systems, GPU acceleration, and parallel file systems - Ability to communicate fluently in English, both spoken and written Additional qualifications - Knowledge of or interest in
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authorship in papers in high-impact journals (IF>6) Experience with development of the PtyPy software Good understanding of Fourier optics GPU computing experience A background in Multibeam Ptychography is
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for Computer Graphics and Real-Time Rendering. By using ANNs, coded for high-performance on cross-vendor GPUs, we aim to create new techniques for global illumination and material models. The subject works with
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000 students and 450 researchers, teachers and other staff are engaged here in training and research in economic history, business administration, business law, informatics, economics, statistics and
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epidemiology and biology of infection with start date 1 September 2026, or as agreed. The future of life science is data-driven. Will you be part of that change? Then join us in this unique program! Data driven
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NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by
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. Due to the interdisciplinary nature of the work, we are looking for a person with a background in performance engineering and high-performance computing hardware (high-performance CPUs and GPUs) as well
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the EU’s ambitious AI Factories initiative. Learn more: https://mimer-ai.eu/about-mimer/ , https://www.naiss.se , https://eurohpc-ju.europa.eu/ai-factories_en The position As AI Training Program Officer, you
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conduct world-class applied research. We change and make a difference. Do you want to become one of us? The Department of Computer Science (DIDA) is one of three departments at the Faculty of Computing