30 parallel-processing-"International-PhD-Programme-(IPP)-Mainz" Postdoctoral positions at Northeastern University
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, parallel storage systems and scientific data management. Recent research project details and outcomes can be found in computer systems conference proceedings, such as HPCA, FAST, SC, DSN, HPDC, IPDPS, and
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, parallel storage systems and scientific data management. Recent research project details and outcomes can be found in computer systems conference proceedings, such as HPCA, FAST, SC, DSN, HPDC, IPDPS, and
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, parallel storage systems and scientific data management. Recent research project details and outcomes can be found in computer systems conference proceedings, such as HPCA, FAST, SC, DSN, HPDC, IPDPS, and
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Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning, parallel storage systems and scientific
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projects independently and collaboratively Demonstrated ability to mentor students and manage complex projects Experience with water resources and flood-resiliency planning is a plus. Hiring Process The
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. The research focus will be on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and to accelerate chemical discoveries for renewable energy
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indication of our preferences around the discipline or background of a successful candidate. The hiring process for this role is ongoing. Application review will begin immediately, and candidates will be
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water resources and flood-resiliency planning is a plus. Hiring Process The hiring process for this role is ongoing. Application review will begin immediately, and candidates will be interviewed on a
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processe Key Responsibilities 1) Perform research. 2) Prepare and write research papers, grant proposals, presentations, etc. 3) Train and supervise graduate students and undergraduate students. 4
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework