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, United States of America Subject Area: Computer Science / All areas Appl Deadline: (posted 2024/11/02, listed until 2025/05/02) Position Description: Apply 2025/05/02 11:59PM Position Description The AI and Systems Co
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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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detectors Experience in applying machine learning to scientific problems Experience in distributed computing, workflow management and/or data management software Experience in parallel programming and
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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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positions in Extended Reality (XR). We are on the lookout for creative technologists (PhD or MFA) who think through and harness XR technologies in innovative ways across diverse domains from art installations
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addition to a vibrant and highly competitive residency program with 25 positions, we offer 9 fellowships and participate in numerous graduate schools and the MD/PhD program of the CU School of Medicine. Our
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computation on a single machine and distributed/parallel computation on multiple machines) as well as emerging settings (e.g., high-performance computing on AI hardware). Please note that the department is
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algorithms and complexity theory, including in both well-established settings (e.g., sequential computation on a single machine and distributed/parallel computation on multiple machines) as well as emerging
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programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or large-scale data centers
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Information & Technology and reports directly to the Associate Director of Advanced Research Computing Services. Active support and advancement of university diversity, community, equity and inclusivity are fundamentally