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TypeScript. A solid foundation in machine learning, large-data processing and software development, including Python, HTML, CSS, and other web frameworks, is essential. Candidates should have excellent skills
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), with a track record of working with large, complex datasets. This includes collecting, managing, analyzing, and visualizing/communicating data to a variety of audiences: the general public, scholars
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further developing existing protocols; collect and analyze large data sets; adhere to the principles of Good Laboratory Practice; assist in the preparation of figures for manuscripts and grant proposals
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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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Research Associate. The Goodwill Computer Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning
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Research Associate. The Goodwill Computer Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning
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decisions we make. Thanks to feedback from our employees over the years, we’ve been fortunate to be named a top employer around the world. Alnylam is extremely proud to have been recognized as the #1 Large
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underserved populations. Research skills and experiences will include utilizing mixed methods research, community engagement, qualitative, quantitative, and big data collection and analysis. This position
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underserved populations. Research skills and experiences will include utilizing mixed methods research, community engagement, qualitative, quantitative, and big data collection and analysis. This position
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. QUALIFICATIONS: The candidate should have hands-on experience in programming and software development, with proficiency in Python, JavaScript, and TypeScript. A solid foundation in machine learning, large-data