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courses about parallel computing, computer architecture, programming models and high performance computing. These are your qualifications: Must-haves: • Completed doctoral/PhD studies in Computer
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optimize large-scale distributed training frameworks (e.g., data parallelism, tensor parallelism, pipeline parallelism). Develop high-performance inference engines, improving latency, throughput, and memory
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architectures, distributed computing, high performance and parallel computing, ethical and sustainable computing, artificial intelligence. The journal will also explore opportunities in emerging and
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Doctoral/PhD degree in astronomy/astrophysics with affinity for programming, or in computer science/applied mathematics with affinity for astronomy/astrophysics. • You can demonstrate excellent abilities
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, and pitch decks Participate in strategy development for the formation and early growth of a spin-off company Your profile A Master's degree or PhD in Computer Science, Machine Learning, Electrical
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to well-known open-source projects or a personal portfolio of impactful open-source research code. Experience with large-scale distributed training and high-performance computing (HPC) environments.