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in Python (R and Matlab); • Familiarity with large-scale data processing and cloud computing (Google Earth Engine, BDC, AWS). Application: Send a cover letter (1 page), updated CV, and two references
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). Proficiency with programming languages (e.g., R, Python, Matlab) for data management and analysis, computational social science, and/or machine learning applications. Acquisition, processing, and analysis
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Coding in any one of the languages (Python, NodeJS, Typescript etc.,) Recruitment process Internship opportunities: We encourage students to review the posted COACH internship opportunities and to apply
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in data analysis with proven experience with programming in Python Be skilled in experimental work Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and the
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using Microsoft Word/Google Docs, Excel/Google Sheets and PowerPoint/Google Slides Basic knowledge in Python, MATLAB, and/or R preferred, but not mandatory Excellent communication skills, both written and
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Tableau. Professional experience with query languages such as PL/SQL, MySql, and T-SQL and databases like SQL Server, Oracle and/or MySQL are required. Familiarity with Python development. Demonstrated
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data through XML files, RDBMS, REST APIs, and flat file sources Excellent programming skills such as Python, R, C/C++, Java, Shell and Perl Familiarity with cloud data platforms such as Snowflake Expert
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Fall 2026, and you are interested in working in healthcare Programming skills (python, bash, matlab, R, etc.); data science Team player, resistant, willing to take risks and challenges Recruitment
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, Tableau, Excel, Python, Adobe Illustrator, and others as necessary. Minimum qualifications: Education: Bachelor's degree in a related fieldplus proven/relevant experience Preferred Qualifications: Masters
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and summary writing, basic data processing and analysis using Python or MATLAB, and preparation of figures or tables for manuscripts and presentations Attend a 2-day program orientation and onboarding