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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 19 days ago
. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2025-09447 Requirements Skills/Qualifications Expected skills include Knowledge on distributed, parallel computing and numerical
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the Computer Science program at New York University Abu Dhabi, seeks to recruit a research assistant to work on the intersection of compilers and deep learning. Many companies, such as Google, Facebook, and Amazon
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. Proficiency in statistical methods, programming (including Linux), and use of high-performance computing clusters and parallel computation is expected, along with a clear research vision to enhance the Unit’s
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infections. In addition, recent advances in massively parallel cell tracking now make it possible to address long-standing questions about how bacteria have adapted to survive in unpredictable environments
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expertise in all communication and broadcasting systems and has developed the best in class large scale testbeds for research and innovation and enjoys the state-of-the-art lab and computing facilities
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researchers with expertise in all communication and broadcasting systems and has developed the best in class large scale testbeds for research and innovation and enjoys the state-of-the-art lab and computing
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management, cache optimization, and vectorization techniques. Strong understanding of algorithms and data structures, especially those suitable for parallel processing and distributed computing. Understanding
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or life sciences, computer science or related field; PhD preferred Two (2) years to three years of experience in developing parallel computing applications, libraries or software tools working with
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programming proficiency in Python and C/C++. Expertise in ensemble learning (e.g., Random Forests, Gradient Boosting, bagging/stacking frameworks). Hands-on experience with parallel or GPU-based computing (CUDA
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office hours (one hour per week). Additionally, instructors will attend weekly planning meetings to coordinate between parallel sections taught on different days. NEUR 102 is the second half