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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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part of Helmholtz networks, e.g., HIRSE; https://www.helmholtz-hirse.de and internationally Your Profile: University degree (Master, Diploma) in natural sciences, computer science or engineering PhD in
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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.
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students from over 60 different countries. IBSS delivers a range of undergraduate, postgraduate, MBA, PhD and Executive Education programmes across all major business disciplines. ROLE OVERVIEW The Associate
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members and more than 6,000 students from over 60 different countries. IBSS delivers a range of undergraduate, postgraduate, MBA, PhD and Executive Education programmes across all major business disciplines
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numerous graduate schools and the MD/PhD program of the CU School of Medicine. Qualifications: Minimum Qualifications: Applicants must meet minimum qualifications at time of hire. Bachelor’s degree in
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simulation, AI based detector design optimization, streaming computing model development, production, distributed computing and workflow management, software infrastructure, particle ID, tracking
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to begin September 1, 2025. We will consider strong candidates in any research area but will prioritize Distributed and Parallel Computing. A PhD in computer science or a related area is required
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Description This PhD project bridges computational neuroscience and machine learning to study the mechanisms of active forgetting—or unlearning—through the lens of both biological and artificial systems