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members Sriram Pemmaraju and Sourya Roy on sampling problems in the distributed and parallel computing setting. The ideal candidate will have research experience in sampling algorithms and related areas
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Computer Science, a Bachelor of Science degree in Cybersecurity, a Master of Science degree in Computer Science, and two multidisciplinary PhD degrees in Computer Science and Information Systems and Engineering and
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functioning in a dynamic technological environment. Preferred Qualifications: Experience with parallel computing, GPU operation (CUDA Toolkit), multi-GPU training, and distributed frameworks for machine
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to: cybersecurity, artificial intelligence, systems (including embedded, distributed, parallel, and high-performance), software engineering, cloud/edge computing and databases. Successful candidates will be expected
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computing, data science, and cyberinfrastructure environments supporting large-scale research workloads (Required) 2. Demonstrated knowledge of scale-out, parallel, distributed, object, and federated storage
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computing, data science, and cyberinfrastructure environments supporting large-scale research workloads (Required) 2. Demonstrated knowledge of scale-out, parallel, distributed, object, and federated storage
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Intelligence, Machine Learning, Data Science, Security and Privacy, Parallel and Distributed Computing, Deep Learning, Internet of Things (IoT), and Algorithms. Successful candidates will hold a joint
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software on HPC systems. Familiarity with performance analysis and compiler optimization techniques. Experience with distributed and parallel computing technologies such as MPI and OpenMP. Experience with
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and compiler optimization techniques. Experience with distributed and parallel computing technologies such as MPI and OpenMP. Experience with large-scale neural network architectures for processing
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MD/PhD program of the CU School of Medicine. Our faculty and staff are diverse and gender balanced, with women comprising 50% of our residents, Assistant, Associate and Full Professors (including those