736 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "U.S" "St" uni jobs at Northeastern University
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at the Massachusetts Green High Performance Computing Center (MGHPCC). You will help with optimization of code and utilization of scheduler features to maximize throughput of jobs. In addition, you will work with
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transformative AI projects. MINIMUM QUALFICIATIONS Expert knowledge of at least one major cloud platform (AWS, GCP, or Azure) Strong programming skills in Python and infrastructure-as-code tools Proficient with
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management, clinical trial design, and regional and global regulatory development. Toronto Campus Information https://toronto.northeastern.edu/academic_program/regulatory-affairs/ For a full list of current
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include building an ETL pipeline for ENCODE genomics data, writing Python code for data analysis, and a downstream R pipeline for post-processing data using standard Bioinformatics libraries from
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QUALIFICATIONS High School Diploma or GED equivalent One or more years of relevant experience A valid U.S. Driver's License Candidates must pass a criminal background check Candidates will be subject to a drug
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, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified
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related topics. Valid U.S. Driver's License Must have CPR and First Aid certification within 6 months of hire Will be required to pass a comprehensive background check, drug screening, and psychological
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providing contributions (architecting, coding, scaling, and deploying), conducting experiments and synthesizing results Serve as a technical representative in internal and external meetings Support in
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Fire suppression system piping & components for main campus and satellite locations according to specifications and plumbing / NFPA codes. Tasks will include a variety of piping and related accessories
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Computing Center (MGHPCC). You will help with optimization of code and utilization of scheduler features to maximize throughput of jobs. In addition, you will work with research groups to help identify