841 coding-"https:"-"Prof"-"CMU-Portugal-Program---FCT" "https:" "https:" "https:" "https:" "FEMTO ST" positions at Northeastern University
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in software engineering best practices, including version control, unit testing, source code management, documentation, and CI/CD workflows. Candidates with prior experience in graphical user interface
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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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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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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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, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply and will receive consideration
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. Responsibilities include preparation of lectures, course materials, examinations, and evaluation of student performance in the course. To review Bioengineering curriculum, please go to https://bioe.northeastern.edu
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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
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preferred. Interest or expertise in single-cell and limited sample proteomics is highly desirable. Knowledge of R or Python coding would be desirable but not necessary. Applicants must include the following
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genomics data, writing Python code for data analysis, and a downstream R pipeline for post-processing data using standard Bioinformatics libraries from Bioconductor. There will be opportunities