62 parallel-processing-bioinformatics-"https:" Postdoctoral research jobs 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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collaborates with faculty, students, and external partners to translate rigorous methods into practical tools. QUALIFICATIONS: Ph.D. in Applied Mathematics, Electrical & Computer Engineering, Computer
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blotting CRISPR/Cas9 genome editing RNAseq and proteomics analysis Organize, process, and report experimental data. Present findings in lab meetings and contribute to manuscript and report writing
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the supervision of the PI, including proposal development and preparation of high-quality publications in top computer security, privacy, embedded systems, sensing, and networking venues. Pursue research topics
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biology, or a related biological discipline is required. Candidates should also have knowledge in one or more of the following areas: molecular biology, genomics/metagenomics, bioinformatics, microbiology
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: molecular biology, genomics/metagenomics, bioinformatics, microbiology, microbial ecology, invertebrate zoology, and symbiosis. Candidates must be capable of conducting substantial full-time research and
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behavior, human-computer interaction, psychology, computer science or related disciplines to work on research projects on human-AI interaction. Increasing ability to generate human-AI interaction data needs
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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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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