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-making. The analyst uses querying languages like SQL, scripting languages like R or Python, and other tools like Power BI Desktop, Power BI Report Builder, SAS, Oracle & Microsoft SQL Server database
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colleagues at all levels in both verbal and written communications. In depth knowledge of RDBMS such as Oracle or SQLServer, one or more web-based software development tools that includes Python/Django
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. Experience with scientific programming, experimental automation, and data analysis using, for example, Python, MATLAB, or LabVIEW. Experience with numerical modelling of nonlinear or integrated photonic
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degree or higher in computer science, engineering, math, or physics Preferred Experience: 4 years in IT/programming. Preferred Skills: Proficiency with Python, Javascript, C/C++, Java, Ruby and/or other
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, computer science, physics, data science or a closely related discipline. • Experience in MRI image analysis and scientific programming, preferably using Python and modern computational libraries. • Experience
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. Qualifications Undergraduate degree in Physics and/or computing. Quantum computing knowledge, with direct experience in building numerical stabilizer simulator for BB codes. Strong coding ability (e.g., Python, C
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
and qualitative data analysis. Experience in data collection instrument and questionnaire design. Experience in SAS/SPSS/R/STATA programming or SQL databases and Python or other languages. Training and
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quantitative and computational research. Good analytical and problem-solving skills. Experience or demonstrable potential in programming using Python, R, Julia, MATLAB, or a related language. The ability to work
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
to generate reports, support users with technology and equipment, adapt to change, and solve problems; knowledge of HTML, Java, or Python; deep understanding of audio production tools, recording formats, and
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environments (e.g., SPSS, R, and Python), and computational facilities. Guide and support students during laboratory sessions and contribute technical input to curriculum development. Assist academic staff and